Dr. Dipankar Das

Assistant Professor, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

dipankar.dipnil2005.gmail.com
www.dasdipankar.com

About Me

Some information about myself.

Assistant Professor - Stage III, Computer Science and Engineering Department, Jadavpur University, Kolkata, India

Young Faculty Research Fellow, Visvesvaraya PhD Scheme for Electronics & IT, Media Lab Asia, Ministry of Electronics and Information Technology, India

My photo

Dr. Dipankar Das

Assistant Professor - Stage III

My areas of interest are "Natural Language Processing", "Speech Processing", "Claim Detection and Verification", "Large and Small Language Models", "Social Networks", "Sentiment / Emotion Analysis", "Information Extraction", "Ontology Engineering", "Psycho linguistics", "Machine Learning", "Code-Mixing", "Dialougue Management", etc.

200+

No. of Publications

15+

Year Experiences

5

Awards Won

4

Projects Done

My Experience

The only source of knowledge is experience.

Visiting Faculty

CSE Department, NIT Mizoram, 2014-2015

Erasmus+ Departamento de Sistemas Informáticos y Computación (DSIIC), Universitat Politècnica de València (UPV), Spain 2019

S. P. Jain Institute of Global Management, Mumbai, 2016-2017

CSE Department, GCETTS, 2008-2009

Assistant Professor

CSE Department, Jadavpur University, 2014- till date

CSE Department, NIT Meghalaya, 2012-2014

Research Fellow

India-Japan Cooperative Programme-Project (DST-JST), Multidisciplinary research field on “Sentiment Analysis where AI meets Psychology” 2010-2012, CSE Department, Jadavpur University, Kolkata, India-700032

Visiting Research Scholar

Precision and Intelligence (P & I) Laboratory,Advanced Information Processing Division:Okumura Group, Tokyo Institute of Technology (TIT), Tokyo, 2011

Research Engineer

DIT, MCIT, Government of India sponsored project titled “Development of the Cross-Lingual Information Access (CLIA) System” 2009-2010, CSE Department, Jadavpur University, Kolkata, India-700032

Research Projects

Sevak – An Intelligent Indian Language Chatbot, IMPRINT-II, DST-SERB

DETECT BEHAVIORAL MALADJUSTMENTS OF STUDENTS THROUGH SENTIMENT ANALYSIS FROM SOCIAL MEDIA, RUSA 2.0

Preparing annotated corpus of three lesser known languages of West Bengal, RUSA 2.0

My Achievement

A dream becomes a goal when action is taken toward its achievement.

  1. Organizing "Shared Task in Sentiment Analysis for Indian Languages (Code Mixed)" in conjunction with ICON, 2017, Jadavpur University, Kolkata, India.
  2. Organizing "NLP Tool Contest" in conjunction with ICON 2017, India.
  3. Organized Workshop "SAAIP 2016" in conjunction with IJCAI, USA.
  4. Workshop on Language Technologies for Indian Social Media Texts @ ICON 2014, December, Goa, India
  5. Ph.D. Thesis (Abstract): "Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach .
  6. Programme Committee member of ICON, ESSEM 2013 , MIKE , MABSDA @ WWW 2013, SAAIP @ IJCNLP, SAAIP @ COLING, SENTIRE @ IEEE ICDM, WISMEA @ SBIA, WISDOM @ KDD, SAAL @ IEA-AIE.
  7. Organizing Workshop TBTCIA 2013 Workshop on Techniques on Basic Tool Creation and Its Applications " in conjuction with 10th International Conference on Natural Language Processing (ICON-2013) , CDAC Noida, India, 18-20 December, 2013.
  8. Organizing Workshop AdSent 2013 "Internet Advertising Using Sentiment Analysis" in conjunction with IEEE International Conference on Data Mining (ICDM 2013), Dallas, Texas.
  9. Organized TechFest "COGNITIA" , NITM, Shillong, India.
  10. Organized Workshop SAAIP "Sentiment Analysis where AI meets Psychology" in conjunction with 24th International Conference on Computational Linguistics (COLING 2012), IITB, Mumbai, India.
  11. Organized Workshop SAAIP "Sentiment Analysis where AI meets Psychology" in conjunction with 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand.
  12. Master Thesis Studies on Emotion Analysis at Word and Sentence Level published by LAP LAMBERT Academic Publishing GmbH & Co., KG Heinrich-Bocking-Str. 6-8, 66121, Saarbrucken, Germany, Number: 36889, ISBN: 978-3-8473-0880-5

Research Team

Have Faith. Trust in the Lord and he shall Guide you.

    Modules NLP, Machine Learning, Text Analyitics

    Dr. Braja Gopal Patra

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    Topic: Music Mood Classifications - A Multimodal Computational Approach Dr. Patra received his Ph. D. in Computer Science and Engineering from Jadavpur University as Visveswaraya Fellow in 2017 under the guidance of Prof. Sivaji Bandyopadhyay and Dr. Dipankar Das. Currently, he is working as a Postdoctoral Fellow at The University of Texas Health Science Center at Houston (UTHealth). His research interests are Music Mood Classifications, Sentiment Analysis and so on under Natural Language Processing.

    Dr. Anupam Mondal

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    Topic: Studies on Computational Approaches of Information Extraction from Clinical Texts Dr. Mondal received his B. Engg. in Information Technology from Jadavpur University (India) in 2007 and his M. Tech. in Computer Science and Engineering from the Kalyani University in 2010. He is currently working as an Assistant Professor in Institute of Engineering and Management (IEM) Kolkata, India from August 2017. Currently, he completed Ph.D(Engg.) under the supervision of Prof. Sivaji Bandyopadhyay (JU, India), Dr. Erik Cambria (NTU, Singapore) and Dr. Dipankar Das (JU, India) from Jadavpur University, India. His research interests are Medical Data Analysis, Sentiment Analysis and Recommendation System in Natural Language Processing.

    Dr. Sainik Kumar Mahata

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    Topic: Studies on Revisiting MT with Special Research Aids-Classification, Clause, Sentiment and Code-Mixing.Dr. Mahata completed Ph.D (Engg.) as a Visveswaraya Ph.D Fellow at Jadavpur University under the guidance of Prof. Sivaji Bandyopadhyay and Dr. Dipankar Das since 2017. His topic is "Studies on Revisiting Aids - Classification, Clause, Code-Mixing, Neural Nets and Sentiment". He has strong proficiency in Python, Natural Language Processing and Machine Translation. He was previously associated with Institute of Engineering and Management, JIS College of Engineering and Narula Institute of Technology in the capacity of Assistant Professor. He has done his B.E and M.Tech, in Computer Science and Engineering, from Nagpur University (2005-2009) and West Bengal University of Technology (2009-2011) respectively.

    Dr. Subhabrata Dutta

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    Topic: Engagement to Persuasion: A Computational Study on Online Social Discourse. Dr. Dutta received his Ph.D (Engg.) and M.Tech. in Computer Science and Engineering from Jadavpur University. His research interests are Discourse Processing, Machine Learning, and Deep Learning under Natural Language Processing.

    Dr. Riyanka Manna

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    Topic: Question Answering System on Cooking Recipe.She is now in Amrita University as an Assistant Professor and received her B.Tech in computer Science & Engineering from WBUT and completed M.Tech in CSE from Lovely Professional University, Punjab. Currently, she completed Ph.D. from Jadavpur University under the guidance of Dr. Dipankar Das and Prof. Alexander Gelbukh, CIC-IPN, Mexico. Her research interests are Question Answering, Informatiion Retrival, Natural Language Processing, and Deep Learning.

    Chhanda Roy

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    Chhanda Roy was an Electrical Engineer from Jadavpur University with PG Diploma in Computer Science from the same institute. She is an experienced software industry practitioner specialized in Airlines domain, having worked on a host of technologies and platforms. She started her Ph.D. with Jadavpur University in 2017 after 30 years of industry exposure. Her doctoral research is in the area of sentiment analysis of student communities to help mining their behavioral pattern. This includes application of NLP, Text and Social Media Analytics. Her doctoral thesis work was started jointly supervised by Dr. Dipankar Das and Dr. Chitrita Chaudhuri.

    Monalisa Dey

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    Monlisa Dey received her B. Tech. in Computer Science of Engineering from JIS College of Engineering (WBUT,(India) in 2010 and her M. Tech. in Computer Science and Engineering from the National Institute of Technology (Durgapur) in 2012. She is currently working as an Assistant Professor in Institute of Engineering and Management (IEM) Kolkata, India from August 2016. She also worked as an Assistant Professor in JIS College of Engineering, India. Currently, she is doing Ph.D. (2017 - ) under the supervision of Dr. Dipankar Das (JU, India) from Jadavpur University, India. Her research interests are Sentiment Analysis, Summarization, Information Extraction and Information Retrieval in Natural Language Processing.

    Sandip Sarkar

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    received his B.Tech in Computer Science and Engineering from Jalpaiguri Govt. Engineering College in 2011 and completed his M.E in Computer Science and Engineering from Jadavpur University in 2014. Now he is pursuing his Ph.D. in Computer Science and Engineering from the same University. In the same time he is also working as an Assistant Professor in Computer Science and Application department in Hijli College from 2016. His current research interests include Question Answering, Information Retrieval and Deep Learning.

    Apurba Paul

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    Apurba Paul received his M.E. in Computer Science & Engineering from Bengal Engineering and Science University, Shibpur, Howrah, West Bengal. Currently, he is pursuing his Ph.D. under the guidance of Dr. Dipankar Das from Jadavpur University, Kolkata. His research area mainly revolves around Development and Visualization of Ontology from Texts in Natural Language Processing(NLP). Apart from NLP, his interest lies in the area of Text Mining, Data Mining, Machine Learning. He also likes to do the program using Python, Java, and C.

Publications

Publication is not all that it is cracked up to be. But writing is.

Journals

  1. A. Paul and D. Das. 2024. Transformer-based Pouranic Topic Classification in Indian Mythology.Sadhana, vol. 49(4), . 
  2. M. Dey, S. K. Mahata, A. Mondal, D. Das. 2024. SETA- Extractive to Abstractive Summarization with a Similarity-Based Attentional Encoder-Decoder Model.ECTI Transactions on Computer and Information Technology (ECTI-CIT), vol. 18(3). 
  3. S. Sarkar, D. Das, P. Pakray, D. E. Pinto 2023. Math Word Problem Solving: Operator and Template Techniques with Multi-Head Attention.Computación y Sistemas (CyS) 27(4). 
  4. S. K. Mahata, D. Das, S. Bandyopadhyay 2023. Consensus based Machine Translation for Code-Mixed Texts.Transactions on Asian and Low-Resource Language Information Processing (TALLIP). 
  5. A. K. Chakraborty, D. Das, A. K. Kolya 2023. Sentiment Analysis on Large-Scale Covid-19 Tweets using Hybrid Convolutional LSTM Based on Naïve Bayes Sentiment Modeling.ECTI Transactions on Computer and Information Technology (ECTI-CIT)pp. 343-357. 
  6. S. K. Mahata, A. Garain, D. Das, S. Bandyopadhyay 2022. Simplification of English and Bengali Sentences for Improving Quality of Machine Translation.Springer Neural Processing Letters, 1-25, pp. 3115-3139. 
  7. S. Dutta, S. Mittal, D. Das, S. Chakrabarti, T. Chakraborty 2022. Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals.IEEE Transactions on Knowledge and Data Engineering. 
  8. S. Mahata, D. Das, S. Bandyopadhyay 2021. Investigating the roles of Sentiment in Machine Translation.. Springer Journal Machine Translation, 35, 4 (Dec 2021), pp. 687–709. 
  9. A. Mondal, D. Das 2021. Ensemble Approach for Identifying Medical Concepts with Special Attention to Lexical Scope. SADHNA, vol. (2021) 46:77 (Impact Factor 0.769), Springer. 
  10. S. Das, A. Kolya, D. Das 2020. Sentiment classification with GST tweet data on LSTM based on polarity-popularity model. SADHNA vol. (2020) 45:140 (Impact Factor 0.769), Springer. 
  11. R. Manna, D. Das and A. Gelbukh 2021. Question-Answering and Recommendation System on Cooking Recipes Computación y Sistemas, Vol. 25, No. 1, 2021, pp. 223–235. 
  12. A.F.R. Khilji, R. Manna, S.R.Laskar, P. Pakray, D. Das, S. Bandyopadhyay, A. Gelbukh 2020. Question Classification and Answer Extraction for Developing a Cooking QA System. Computación y Sistemas, Vol. 24, No. 2, 2020, pp. 927–933. 
  13. S. Dutta, D. Das, T. Chakraborty. 2019. Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions. Information Processing and Management, vol 56(4) (Impact Factor 3.892, SCI Indexed), Springer. 
  14. A. Mondal, E. Cambria, D. Das, A. Hussain and S. Bandyopadhyay. 2018. Relation Extraction of Medical Concepts using Categorization and Sentiment Analysis. Cognitive Computation Journal, vol 10 (4), pp. 670-685, DOI: 10.1007/s12559-018-9567-8 (Impact Factor 3.441, SCI Indexed), Springer. 
  15. B. G. Patra, D. Das, and S. Bandyopadhyay. 2018. Multimodal Mood Classification of Hindi andWestern Songs. Journal of Intelligent Information Systems (JIIS), DOI: 10.1007/s10844-018-0497-4, Springer. 
  16. S.K. Mahata, D. Das, Bandyopadhyay S. MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation. Journal of Intelligent Systems. 
  17. A. Pathak, P. Pakray, S. Sarkar, D. Das and A. Gelbukh, 2017 "MathIRs: Scientific Documents Retrieval System", Computaci´on y Sistemas. Thematic issue: Authorship Analysis (Guest editors: M. Montes, L. Villase~nor), Vol 21, No 2, pp. 253--265, 2017, ISSN: 2007-9737 [Scopus indexed] 
  18. R. Manna, P. Pakray, S. Banerjee, D. Das and A. Gelbukh (2017 ). CookingQA: A Question Answering System Based on Cooking Ontology. In the journal of Advances in Computational Intelligence. MICAI 2016. Lecture Notes in Computer Science, vol 10061. Springer, Cham. 
  19. B. G. Patra, D. Das and S. Bandyopadhyay. 2016. Labeling Data and Developing Supervised Framework for Hindi Music Mood Analysis. In the Journal of Intelligent Information Systems (JIIS), Springer, ISSN: 0925-9902 (print version) ISSN: 1573-7675  
  20. B. G. Patra, D. Das and S. Bandyopadhyay. 2016. Multimodal Mood Classification Framework for Hindi Songs. In the journal of Computacion y Sistemas (CyS), ISSN: 1405-5546  
  21. T. Chakraborty, D. Das and S. Bandyopadhyay. 2014. . Identifying Bengali Multiword Expressions using Semantic Clustering. In the Research Journal on Lingvisticae Investigationes , vol. 37 (1), pp. 106-128, John Benjamins Publishing Company, ISSN 0378-4169, E-ISSN 1569-9927. 
  22. A. Kundu, D. Das and S. Bandyopadhyay. 2013. Scene Boundary Detection from Movie Script Dialogue - A Genetic Algorithm Approach. In the Research Journal on Computer Science and Computer Engineering with Applications, POLIBITS, vol. 47, ISSN 1870-9044. 
  23. D. Das and S.Bandyopadhyay. 2013. Emotion Coreferencing - Emotional Expression, Holder and Topic. In the International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), vol. 18, No. 1, ISSN No. 1027-376X 
  24. Poria, S.; Gelbukh, A.; Hussain, A.; Howard, N.; Das, D.; Bandyopadhyay, S. Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining ; Intelligent Systems, IEEE , vol.28, no.2, pp.31,38, March-April 2013, doi: 10.1109/MIS.2013.4
  25. D. Das and S.Bandyopadhyay. 2012. Sentence Level Emotion and Valence Tagging. In the Journal of Cognitive Computation, vol. 4, No. 4, Print edition ISSN: 1866-9956, Web edition ISSN: 1866-9964, DOI: 10.1007/s12559-012-9173-0, pp. 1-16. (SCI Indexed, IF: 1.0)
  26. D. Das and S.Bandyopadhyay. 2011. Tracking Emotions of Bloggers – A Case Study for Bengali. In the Research journal on Computer  science and computer engineering with applications, POLIBITS, vol. 45, pp. 53-59, ISSN 1870-9044.
  27. D. Das and S.Bandyopadhyay. 2011. Document level Emotion Tagging – Machine Learning and Resource based Approach. In the journal of Computacion y Sistemas (CyS), ISSN: 1405-5546, vol. 15, No. 2 (2011), pp. 221-234.
  28. D. Das and S.Bandyopadhyay. 2010. Sentence Level Emotion Tagging on Blog and News Corpora, In the Journal of Intelligent System (JIS), ISSN No.  0334-1860, vol. 19(2). pp. 125-142.

Books

  1. D. Das, A. Kolya, A. Basu and S. Sarkar. 2023. Computational Intelligence Applications for Sentiment Data Analysis. ELSEVIER, ISBN, 978-0-323-90535-0
  2. E. Cambria, D. Das, S. Bandyopadhyay and F. Antonio. 2017. A Practical Guide to Sentiment Analysis. with Springer publishing house in the series http://www.springer.com/series/13199, LNCS, 978-3-319-55392

Book Chapters

  1. K. Majumder, D. Das. 2022. Analyzing Emotional Speech and Text: A Special Focus on Bengali Language. Advances in Speech and Music Technology, Springer, Anupam Biswas, Emile Wennekes, Alicja Wieczorkowska and Laskar Rabul Hussain ed., pp. 283-308
  2. S. Sarkar, D. Das, Pakray P., Pinto D. 2022. Generating Equations from Math Word Problem Using Deep Learning Approach. Mukhopadhyay, S., Sarkar, S., Dutta, P., Mandal, J.K., Roy, S. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2022. Communications in Computer and Information Science, vol 1579. Springer
  3. S. Sarkar, D. Das, Pakray P., Pinto D. 2021. A Hybrid Sequential Model for Text Simplification. In: Priyadarshi N., Padmanaban S., Ghadai R.K., Panda A.R., Patel R. (eds) Advances in Power Systems and Energy Management. ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 690. Springer
  4. A. Gadia, P. Nandi and D. Das. 2021. Interactive Medical Conversational Agent for Assisting COVID Related Queries. In Predictive and Preventive Measures for COVID-19 Pandemic, Taylor and Francis
  5. M. Dey and D. Das. 2019. Supervised Extractive Summarization of Text. In Book titled Data Visualization and Knowledge Engineering-Spotting Data points by Data Visualization with Artificial Intelligence
  6. S. Das, A. K. Kolya, D. Das, 2019. Optimizing Social Media Data Using Genetic Algorithm. In Metaheuristic Approaches to Portfolio Optimization (ch. 6, pp. 126-153). IGI Global, ISBN13: 9781522581031, DOI: 10.4018/978-1-5225-8103-1
  7. S. Dutta, T. Chakraborty, D. Das. 2018. How did the discussion go: Discourse act classification in social media conversations, LMHMD, Springer, Deepak et al., ed, pp. 137-160
  8. D. Das and S. Bandyopadhyay. 2013. Building Language Resources for Emotion Analysis in Bengali. In the “TECHNICAL CHALLENGES AND DESIGN ISSUES IN BANGLA LANGUAGE PROCESSING”, Karim et al., (Eds.), IGI Global ch. 16, pp. 346-368.
  9. E. Cambria, D. Rajagopal, D. Olsher and D. Das. 2013. Big Social Data Analysis. In the Book of “Big Data Computing”, Rajendra Akerkar (Eds.), By Taylor & Francis Group/CRC, ch. 7, pp. 127-141, Hardback: 978-1-46-657837-1, eBook: 978-1-46-657838-8 
  10. D. Das and S. Bandyopadhyay. 2013. Emotion Analysis on Social Media - Natural Language Processing Approaches and Applications. "Online Collective Action: Dynamics of the Crowd in Social Media". Springer, LNCS
  11. D.Das and S.Bandyopadhyay. 2013. Holder and Topic based Analysis of Emotions on Blog Texts: a Case Study for Bengali. In the book of "Studies in Mining Social Networks and Security", Information Reuse and Integration In Academia And Industry By Springer Verlag, Tansel Özyer, Keivan Kianmehr, Mehmet Tan, Jia Zeng (Eds.), LNCS

Conference and Workshop

    2024

    1. R. Roy, P. Paul and D. Das 2024. Transformer-based machine learning model for the detection of claim span in English and Hindi texts, ICPR-39-2024-CSl (Winner Team)  
    2. R. Roy, P. Paul, R. Jha and D. Das 2024. CryptoOpinionMining: A Comparative Analysis of Hierarchical and Flat Classification Models for Social Media Content, FIRE 2024 Shared Task (Winner Team)  
    3. Urwah Jwaid, Rudra Roy, Pritam Pal, Srijani Debnath, Dipankar Das and Sivaji Bandyopadhyay 2024. Human vs Machine: An Automated Machine-Generated Text Detection Approach , ICON 2024, UKBC, Chennai  
    4. Shankha Shubhra Das, Pritam Pal, Dipankar Das. 2024. TUnveiling the Truth: A Deep Dive into Claim Identification Methods. 38th Pacific Asia Conference on Language, Information and Computation or PACLIC 38 (2024), December 7-9, 2024, Tokyo, Japan  
    5. P. Pal, D.Das, A,. Kolay. 2024. Bilingual Sentiment and Emotion Analysis: A Multi-Task Learning Framework for Bengali and English. FIRE 2024, IIIT, Gandhinagar  
    6. D. Saha, S.K. Mahata, D. Das. 2024. Multilevel Approaches to Speech Emotion Recognition, 3rd International Conference on Speech and Language Technologies for Low-Resource Languages (SPELL 2024)  
    7. D. Saha, A. Mondal, S. Mahata, D. Das, S. Bandyopadhyay. 2024. Detecting Disfluencies - Overcoming Barriers to Effective Communication, In ICDAI 2024- 2nd International Conference on Data Analytics and Insights  
    8. P. Pal, S. S. Das, D. Das, and A. K. Kolya. 2024. Decoding Multi-Task Learning: A Comparative Exploration for Similar and Dissimilar Task, International conference on Artificial Intelligence and Sustainable Computing, AISC 2024, July 11-13, 2024, Kolkata, India  
    9. S. Sarkar, D. Das, P.Pakray, D. Pinto. 2024. Answering Beyond Borders: A Comparative Analysis of Various BERT Models in Cross-Lingual QA Using XQuAD, In Conference Proceedings of IconDeepCom-2024  
    10. S. Sarkar, D. Das. 2024. A Multi-Head Approach to Improve Performance and Scalability in Knowledge Graph Question Answering Systems, DST SERB Sponsored IC3T-2024 conference  

    2023

    1. P. Karkun and D. Das. 2023. Identifying Intent-Sentiment Co-reference from Legal Utterances, ICON 2023, Goa  
    2. A. Paul, A. Mondal, S. Mahata, S. Seal, P. Sarkar and D. Das. 2023. Mytho-Annotator: An Annotation tool for Indian Hindu Mythology, ICON 2023, Goa  
    3. S. Mahata, D. Saha, D. Das and S. Bandyopadhyay. 2023. Transfer learning in low-resourced MT: An empirical study, ICON 2023, Goa  

    2022

    1. S. Dutta, D. Das, T. Chakraborty. 2022. Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? ACL (1) 2022: 7774-7786  
    2. S. Dutta, R. Dhar, P. Guha, A. Murmu and D. Das. 2022. A Multilingual Dataset for Identifiction of Factual Claims in Indian Twitter. FIRE '22: Forum for Information Retrieval Evaluation, Pp. 88-92  
    3. P. Nandi, P. Karkun, C. Maji, A. Karmakar, P. Jana, A. Roy, D. Das. 2022. Developing a Dataset for Classifying Intents and Sentiments from Judicial Conversations. Proceedings of the 26th Workshop on the Semantics and Pragmatics of Dialogue, pp. 278-280, Dublin  

    2021

    1. S.D. Das, A. Basak, S. Mandal and D. Das. 2021. AdvCodeMix: Adversarial Attack on Code-Mixed Data, CODS-COMAD 2022, 9th ACM IKDD CODS and 27th COMAD  
    2. P. Nandi and D. Das. 2021. Evaluation of Intent Classification Models on Frequently Asked Railway Queries, ICDSA, Springer  
    3. D. Das and K. Sharma. 2021. Leveraging of Weighted Ensemble Technique for Identifying Medical Concepts from Clinical Texts at Word and Phrase Level, In 2nd DNLP Conference  
    4. D. Das, Akash Ghosh, AdityaR Rayala, Dibyajyoti Dhar, Vidit Sarkar, Avishek Garain, Sourav Kumar 2021. Preparing Annotated Data on COVID - 19 by Employing Naïve Bayes, In 2nd DNLP Conference.  

    2020

    1. S. K. Mahata, A. Chandra, D. Das and S. Bandyopadhyay. 2020. Performance Gain in Low Resource MT with Transfer Learning: An Analysis concerning Language Families, FIRE 2020  
    2. Riyanka Manna, Dipankar Das, Alexander Gelbukh. 2020. “Information Retrieval-Based Question Answering System on Foods and Recipes”, In: Advances in Computational Intelligence (MICAI 2020). Lecture Notes in Computer Science, vol. 12469. Pp. 260-270, Springer  
    3. Riyanka Manna, Dipankar Das, Alexander Gelbukh, “Question Classification in a Question Answering System on Cooking”, In: Advances in Computational Intelligence (MICAI 2020). Lecture Notes in Computer Science, vol. 12469, Pp 103-108, Springer  
    4. D. Das, S. Mondal and A. Ray. Classifying Hate Speeches shared in Twitter. In International symposium on Frontiers of Research in Speech and Music (FRSM), Springer series of Advances in Speech and Music Technology under Advances in Intelligent Systems and Computing (Ed. Anupam Biswas, Emile Wennekes, Tzung-Pei Hong, Alicja Wieczorkowska), pp. 381-393  
    5. D. Das and R. Das. Human to Robotic Voice Conversion by employing Wave Patterns based on Gender and Emotions. In International symposium on Frontiers of Research in Speech and Music (FRSM), Springer series of Advances in Speech and Music Technology under Advances in Intelligent Systems and Computing (Ed. Anupam Biswas, Emile Wennekes, Tzung-Pei Hong, Alicja Wieczorkowska), pp. 367-379  
    6. S. Sarkar, D. Das, P. Pakray and S. Bandyopadhyay. 2020. A Hybrid Sequential Model for Text Classification, 2nd International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy, Springer, Priyadarshi, N., Padmanaban, S., Ghadai, R.K., Panda, A.R., Patel, R. (Eds.), pp. 33-42  

    2019

    1. S. Dutta, D. Das, T. Chakraborty. 2019. Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory, ICDM  
    2. S. Dutta, D. Das, T. Chakraborty. 2019. Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion, CIKM  
    3. S. Das, D. Das, A. K. Kolya, 2019. An Approach for Sentiment Analysis of GST Tweets Using Words Popularity Versus Polarity Generation. In Computational Intelligence in Pattern Recognition , pp. 69-80. Springer, Singapore  
    4. S. K. Mahata, S. Mandal, D. Das and S. Bandyopadhyay. 2019. Code-Mixed to Monolingual Translation Framework, FIRE 2019  
    5. S. D. Das, S. Mandal and D. Das. 2019. Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models, FIRE 2019  
    6. T. Raha, S. K. Mahata, D. Das, S. Bandyopadhyay. 2019. Development of POS tagger for English-Bengali Code-Mixed data, 16th International Conference on Natural Language Processing (ICON 2019), IIIT Hyderabad  
    7. A. Garain, D. Das. 2019. K-RMS Algorithm, International Conference on Computational Intelligence and Data Science (ICCIDS 2019), Gurugram  

    2018

    1. A. Mondal, M. Dey, D. Das. 2018. Chatbot: An automated conversation system for the educational domain. In proceedings of The 13th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2018) IEEE iSAI-NLP 2018, pp. 26-30  
    2. S. K. Mahata, S. Mondal, D. Das and S. Bandyopadhyay. 2018. SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences In ACL indexed Proceedings of 15th International Conference on Natural Language Processing (ICON 2018), pp. 115-121, Patiala, India  
    3. M. Dey, S. Mandi, D. Das. 2018. Summarization of Table Citations from Text. In ACL indexed Proceedings of 15th International Conference on Natural Language Processing (ICON 2018), pp. 115-121, Patiala, India  
    4. A. Mondal, D. Das and S. Bandyopadhyay. 2018. A Content-based Recommendation System for Medical Concepts: Disease and Symptom. In ACL indexed Proceedings of 15th International Conference on Natural Language Processing (ICON 2018), pp. 115-121, Patiala, India  
    5. A. Mondal, D. Das, E. Cambria, S. Bandyopadhyay. 2018. WME 3.0: An Enhanced and Validated Lexicon of Medical Concepts. In the proceedings of 9th Global WordNet Conference (GWC).  
    6. S. Mandal, S K Mahata, D. Das. Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages. InThe 13th Workshop on Asian Language Resources 2018 May 7 (p. 57).  
    7. B. G. Patra, G. Das, and D. Das. 2018. Multimodal Author Proling for Arabic, English, and Spanish - Notebook for PAN at CLEF 2018. In Proceedings of the PAN 2018 at CLEF-2018, Avignon, France.  
    8. B. G. Patra, D. Das, and A. Das. 2018. Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL Code-Mixed Shared Task @ICON-2017. Computation and Language (cs.CL), arXiv:1803.06745.  

    2017

    1. B. G. Patra, D. Das, and S. Bandyopadhyay. 2017. Retrieving Similar Lyrics for Music Recommendation System. In 14th International Conference on Natural Language Processing (ICON 2017), Jadavpur University, Kolkata, India, pp. 290-297.  
    2. A. Mondal, D. Das , E. Cambria and S. Bandyopadhyay. 2017. Med-ConceptNet: an Affinity score based Medical Concept Network. In the proceedings of 30th International FLAIRS Conference, Florida, USA.
    3. A. Mondal, E. Cambria, D. Das, S. Bandyopadhyay. (2017, November). Employing sentiment-based affinity and gravity scores to identify relations of medical concepts. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-7). IEEE.
    4. S. Mahata, D. Das, S. Bandyopadhyay. BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora. InProceedings of the 10th Workshop on Building and Using Comparable Corpora 2017 (pp. 56-59). 
    5. S. Sarkar, D. Das, P. Pakray and A. Gelbukh. 2017 "Regression Based Approaches for Detecting and Measuring Textual Similarity". In: Prasath R., Gelbukh A. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2016. Lecture Notes in Computer Science, vol 10089. Springer, Cham.
    6. S. Sarkar, D. Das and P. Pakray. 2017. JU NITM: A classification approach for answer selection in multi-choice question answering system. In Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 21--216, Taipei, Taiwan, November 27-December 1, 2017.
    7. A. Mondal, E. Cambria, A. Feraco, D. Das, S. Bandyopadhyay. (2017, November). Auto-categorization of medical concepts and contexts. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-7). IEEE.
    8. M. Dey, A. Mondal, D. Das. (2017). JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion Diversification. Proceedings of the IJCNLP 2017, Shared Tasks, 138-142.
    9. A. Mondal, D. Das, S. Bandyopadhyay. (2017, December). Relationship Extraction based on Category of Medical Concepts from Lexical Contexts. In the proceedings of 14th International Conference on Natural Language Processing (ICON).
    10. S. Banerjee, P. Pakray, D. Das, R. Manna and A. Gelbukh (2017). NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis. In the Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 180–183, Taipei, Taiwan, November 27 – December 1, 2017 AFNLP.
    11. S. Dutta and D. Das . 2017. Dialogue Modelling in Multi-party Social Media Conversation. In the proceedings of 20th International Conference on Text, Speech and Dialogue (TSD), LNAI.
    12. A. Paul, D. Das.2017. Identification of Character Adjectives from Mahabharata. In the International Conference on Recent Advances in Natural Language Processing(RANLP 2017), page 569-576, Varna, Bulgeria.
    13. A. Paul, D. Das.2017. A Deep Dive into Identification of Characters from Mahabharata. IN the International Conference on Natural Language Processing(ICON 2017).

    2016

    1. M. Dey, A. Mondal, D. Das. 2016. "NTCIR-12 MOBILECLICK: Sense-based Ranking and Summarization of English Queries." NTCIR. 2016. 
    2. S. Bandyopadhyay, D. Das, E. Cambria, and B. G. Patra. 2016. Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 10, 2016. CEUR Workshop Proceedings 1619. 
    3. A. Mondal, R. Satapathy, D. Das, S. Bandyopadhyay. 2016. A Hybrid Approach Based Sentiment Extraction from Medical Context. In SAAIP@ IJCAI (Vol. 1619, pp. 35-40). 
    4. A. Mondal, D. Das , E. Cambria, S. Bandyopadhyay. 2016. WME: Sense, Polarity and Affinity based Concept Resource for Medical Events. In the proceedings of 10th Global WordNet Conference (GWC-2016), Mititelu et al.(Eds)., pp. 242-246.
    5. S. Mahata, D. Das, S. Pal. Wmt2016: A hybrid approach to bilingual document alignment. InProceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers 2016 (Vol. 2, pp. 724-727). 
    6. S. Sarkar, D. Das, P. Pakray and A. Gelbukh. 2016 "JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio", at Proceedings of SemEval- 2016, pages 702--705, San Diego, California, June 16-17, 2016. Association for Computational Linguistics.
    7. S. Sarkar, S. Saha, J. Bentham, P. Pakray, D. Das and A. Gelbukh. 2016 "NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection". Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation. Kolkata, India, December 7--10, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1737, CEUR-WS.org, 2016, pp. 256--259.
    8. B. G. Patra, D. Das , S. Bandyopadhyay. 2016. Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs. In the proceedings of COLING 2016.
    9. S. Ghosh, D. Das and T. Chakraborty. 2016. Determining sentiment in citation text and analyzing its impact on the proposed ranking index. In the proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), LNCS.
    10. B. G. Patra, S. Mazumdar, D. Das , P. Rosso, S. Bandyopadhyay. 2016. A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter. In the proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), LNCS.

    2015

    1. B. G. Patra, N. Ghosh, D. Das and S. Bandyopadhyay. 2014. Identifying Temporal Information and Tracking Sentiment in Cancer Patients Interviews. In the proceedings of 16th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2015), A. Gelbukh (Ed.), LNCS vol, pp.180-188, Cairo, Egypt.
    2. A. Paul, D. Das. 2015. Identification and Classification of Emotional Key Phrases from Psychological Texts. In the Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction, pages 32–38, Beijing, China, July 30, 2015. c 2015 Association for Computational Linguistics.
    3. B. G. Patra, D. Das , S. Bandyopadhyay. 2015. Mood Classification of Hindi Songs based on Lyrics. In the Proceedings of 12th International Conference on Natural Language Processing (ICON 2015).
    4. S. Gosh, S. Gosh and D. Das . Query Word Labeling using Conditional Random Field. Working Note, Shared Task on Mixed Script Information Retrieval, FIRE 2015, pp.31-34.
    5. B. G. Patra, D. Das , A. Das, R. Prasath, 2015. Shared Task on Sentiment Analysis in Indian Languages –An Overview. In the Proceedings of third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), R. Prasath (Eds.): LNAI 9468, pp. 650-655.
    6. B. G. Patra, D. Das , S. Bandyopadhyay. 2015. Music Emotion Recognition System. In the proceedings of International Symposium on Frontiers of Research on Speech and Music (FRSM), pp. 114-119, IITKgp.
    7. A. Mondal, D. Das . 2015. A Supervised Framework for Classifying Dependency Relations from Bengali Shallow Parsed Sentences. In the Proceedings of third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), R. Prasath (Eds.): LNAI vol. 9468, pp. 597-606.
    8. A. Mondal, D. Das , E. Cambria, S. Bandyopadhyay. 2015. Lexical Resource for Medical Events: A Polarity Based Approach. 2015 IEEE 15th International Conference on Data Mining Workshops (ICDMW 2015) 14-17 November 2015 in Atlantic City, New Jersey, USA.
    9. B. G. Patra, P. Maitra, D. Das , S. Bandyopadhyay. 2015. Regression based Approach to Music Emotion Task. MediaEval 2015: in conference track of "Emotion in Music".
    10. B. G. Patra, N. Debbarma, A. Abahai T., D. Das and S. Bandyopadhyay. 2015. Named Entity Recognizer for Less Resourced Language Kokborok. 19th International Conference on Asian Language Processing (IALP 2015). pp. 164-168, October 24 - 26, 2015, Suzhou, China.
    11. A. Paul and D. Das . 2015. Identification and Classification of Emotional Key Phrases from Psychological Texts. Workshop on Novel Computational Approaches to Keyphrase Extraction Keyphrase 2015 ACL-IJCNLP 2015, pp. 32-38, Beijing, China.
    12. C. M. Dasari, D. Das and S. Bandyopadhyay. 2015. Emotion Argumentation. 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS 2015), pp. 331-336, India.
    13. P. Maitra, S. Ghosh and D. Das . 2015. Authorship Verification – An Approach based on Random Forest Based Approach Notebook for PAN at CLEF 2015. In 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2015) with CLEF-2015, vo. 1391, pp. 134.
    14. P. Maitra, S. Ghosh and D. Das . 2015. Authorship Verification – An Approach based on Random Forest Based Approach Notebook for PAN at CLEF 2015. In 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2015) with CLEF-2015, vo. 1391, pp. 134.

    2014

    1. S. Pal, B. G. Patra, D. Das , S. K. Naskar and S. Bandyopadhyay. 2014. How Sentiment Analysis can help in PB-SMT. In 11th International Conference on Natural Language Processing (ICON 2014), Goa, India.
    2. B. G. Patra, N. Mukherjee, A. Das, S. Mondal, D. Das and S. Bandyopadhyay. 2014. Identifying Aspects and Analyzing their Sentiments from Reviews. the proceeding of 13th Mexican International Conference on Artificial Intelligence (MICAI-2014), Tuxtla Gutiérrez, Chiapas, Mexico.
    3. B. G. Patra, S. Mondal, D. Das and S. Bandyopadhyay. 2014. JU_CSE: A Conditional Random Field (CRF) Based approach to Aspect based Sentiment Analysis. In International Workshop on Semantic Evaluation (SemEval-2014) co-located with COLING, August 23-24, Dublin, Ireland.

    2013

    1. S. Poria, A. Gelbukh, D. Das and S. Bandyopadhyay. 2013. Emotion Lexicon Generation: Approximating Fuzzy Clustering for SVM Classification. In the proceeding of 11th Mexican International Conference on Artificial Intelligence (MICAI-2012), Ildar Batyrshin and Miguel González Mendoza (Eds.), Springer, LNAI 7629, pp. 73-86, San Luis Potosi, Mexico, on October 27 - November 4, 2012
    2. A. Brahmachari, P. Singh, A. Garg and D. Das. 2013. . Identifying Psychological Theme Words from Emotion Annotated Interviews. In the Proceedings of First International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2013), R. Prasath and T. Kathirvalavakumar (Eds.): LNAI 8284, pp. 728–739 Springer.
    3. B.G. Patra,D. Das and S. Bandyopadhyay. 2013. Unsupervised Approach to Hindi Music Mood Classification. In the Proceedings of First International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2013), R. Prasath and T. Kathirvalavakumar (Eds.): LNAI 8284, pp. 728–739 Springer.
    4. B. G. Patra, S. Banerjee, D. Das and S. Bandyopadhyay. 2013. Feeling may separate Two Authors: Incorporating Sentiment in Authorship Identification Task. In 10th International Conference on Natural Language Processing (ICON 2013) , December 18th-20th, C-DAC Noida, India.
    5. B. G. Patra, D. Das and S. Bandyopadhyay. 2013. Automatic Music Mood Classification of Hindi Songs. In 3rd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), International Joint Conference on Natural Language Processing (IJCNLP-2013) , Japan.
    6. B. G. Patra, H. Takamura, D. Das , M. Okumura and S. Bandyopadhyay. 2013. Construction of Emotional Lexicon Using Potts Model. In the Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP 2013) , Japan
    7. B. G. Patra, S. Banerjee, D. Das , T. Saikh and S. Bandyopadhyay. 2013. Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013. In 9th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2013) with CLEF-2013 . (Accepted)

    2012

    1. D. Das, S. Poria and S. Bandyopadhyay. 2012. A Classifier based approach to Emotion Lexicon Construction. In the proceedings of 17th International conference on Applications of Natural Language Processing to Information Systems (NLDB - 2012), G. Bouma et al. (Eds.), Springer, LNCS vol. 7337, pp. 320–326, 2012, Groningen, The Netherlands.
    2. D. Das, S. Roy and S. Bandyopadhyay. 2012. Emotion Tracking on Blogs - A case study for Bengali. In the Special Session on Sentiment Analysis for Asian Languages (SAAL). The 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), Advanced Research in Applied Artificial Intelligence, H. Jiang et al. (Eds.): IEA/AIE 2012, Springer, LNCS vol. 7345, pp. 447–456, Dalian, China.
    3. A. Kolya, D. Das, A. Ekbal and S. Bandyopadhyay. 2012. Role of Event Actors and Sentiment Holders in Identifying Event-Sentiment Association. In the proceedings of 13th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2012), A. Gelbukh (Ed.), Springer, LNCS vol.7181, pp.513-525, IIT Delhi, India.
    4. B. G. Patra, K. Debbarma, D. Das and S. Bandyopadhyay. 2012. Part of Speech (POS) Tagger for Kokborok. In the Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Dec 8-15, IITB, Mumbai, India. (Accepted)
    5. A. Kundu, D. Das, S. Bandyopadhyay. 2012. Speaker Identification from Film Dialogues. In the Proceedings of the 4th International Conference on Intelligent Human Computer Interaction (IHCI), pp. 479-482, December 27-29, IIT Kharagpur.
    6. B. G. Patra, A. Kundu, D. Das and S. Bandyopadhyay. 2012. Classification of Interviews – A Case Study on Cancer Patients. In the Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), held with 24th International Conference on Computational Linguistics (COLING 2012), pp. 27-36, IITB, Mumbai, India.
    7. K. Debbarma, B. G. Patra, D. Das and S. Bandyopadhyay. 2012. Morphological Analyzer for Kokborok. In the Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing (SANLP), held with 24th International Conference on Computational Linguistics (COLING 2012), pp. 41-52, IITB, Mumbai, India.
    8. S. Poria, A. Gelbukh, E. Cambria, D. Das and S. Bandyopadhyay. 2012. Emo-SenticNet: Extending SenticNet with Emotion Labels. In the Proceedings of the Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE), IEEE ICDM,  pp. 709-716.
    9. B. G. Patra, K. Debbarma, S. Debbarma, D. Das, A. Das and S. Bandyopadhyay. 2012. A Light Weight Stemmer in Kokborok. In the proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012), Taiwan. (Accepted)
    10. D. Das, S. Poria, C.M. Dasari and S. Bandyopadhyay. 2012. Building Resources for Multilingual Affect Analysis – A Case Study on Hindi, Bengali and Telugu. In the 4th International Workshop on Corpora for Research on EMOTION SENTIMENT & SOCIAL SIGNALS (ES³ 2012), Satellite of LREC 2012, ELRA, pp. 54-61, 26 May, Istanbul, Turkey.
    11. C.M. Dasari, D. Das and S. Bandyopadhyay. 2012. Topic Identification from Blog Documents: Roles of Bigram, Named Entity and Sentiment. In the Workshop on Information Access Technologies for Online Reputation Management, LREC 2012, pp. 19-24, Istanbul, Turkey.

    2011

    1. D. Das, A. Kolya, A. Ekbal and S. Bandyopadhyay. 2011. Temporal Analysis of Sentiment Events – A Visual Realization and Tracking. In the proceedings of 12th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2011), A. Gelbukh (Ed.), Springer, LNCS vol. 6608, pp. 417-428, Tokyo, Japan.
    2. D. Das and S. Bandyopadhyay. 2011. Analyzing Emotional Statements – Roles of General and Physiological Variables. In the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), 5th International Conference on Natural Language Processing (IJCNLP 2011), pp. 59-67, Chiang Mai, Thailand.
    3. D. Das and S. Bandyopadhyay. 2011. Emotions on Bengali Blog Texts: Role of Holder and Topic. First Workshop on Social Network Analysis in Applications (SNAA 2011), 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011), pp. 587-592, ISBN 978-1-61284-758-0, DOI: 10.1109/ASONAM.2011.106. 
    4. A. Kolya, D. Das, A. Ekbal and S. Bandyopadhyay. 2011. Identifying Event – Sentiment Association using Lexical Equivalence and Co-reference Approaches. In the Workshop on Relational Models of Semantics (RELMS 2011), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 19-27, Portland, USA.
    5. Y. Torii, D. Das, S. Bandyopadhyay and M. Okumura. 2011. Developing Japanese WordNet Affect for Analyzing Emotions. In the Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 80-86, Portland, USA.
    6. T. Chakraborty, D. Das and S. Bandyopadhyay. 2011. Semantic Clustering: an Attempt to Identify Multiword Expressions in Bengali. In the Workshop on Multiword Expressions: from Parsing and Generation to Real World (MWE 11), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 8-13, Portland, USA
    7. D. Das. 2011. Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach. In the proceedings of the Ph. D. Symposium, 20th International World Wide Web Conference (WWW 2011), pp. 343-348, Hyderabad, India.

    2010

    1. S. Banerjee, D.Das and S.Bandyopadhyay. 2010. Classification of Verbs –Towards Developing a Bengali Verb Subcategorization Lexicon. In the proceedings of 5th Global WordNet Conference (GWC-2010), P. Bhattyacharya (Ed.) pp. 76-83, Narosa Publishers, ISBN 978-81-8487-083-1, Mumbai, India.
    2. D.Das and S.Bandyopadhyay. 2010. Sentence to Document Level Emotion Tagging – A Coarse-grained Study on Bengali Blogs. In the proceedings of 2nd Mexican Conference on Pattern Recognition (MCPR-2010), J.A. Carrasco-Ochoa et al. (Eds.), Springer, LNCS vol. 6256, Advances in Pattern Recognition, pp. 332-341, Mexico.
    3. D.Das and S.Bandyopadhyay. 2010. Emotion Holder for Emotional Verbs – The role of Subject and Syntax. In the proceedings of 11th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2010), A. Gelbukh (Ed.), LNCS Vol. 6008, pp. 385-393, Romania.
    4. D. Das and S. Bandyopadhyay. 2010. Identifying Emotion Holder and Topic from Bengali Emotional Sentences. In the proceedings of the 8th International Conference on Natural Language Processing (ICON 2010), pp. 117-126, IIT Kharagpur, India.
    5. D. Das and S. Bandyopadhyay. 2010. Finding Emotion Holder from Bengali Blog Texts –An Unsupervised Syntactic Approach. Student Session. 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 2010), pp. 621-628, Sendai, Japan.
    6. D. Das and S. Bandyopadhyay. 2010. Identifying Emotional Expressions, Intensities and Sentential Emotion Tags using A Supervised Framework. 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 2010), pp. 95-104, Sendai, Japan.
    7. D. Das and S. Bandyopadhyay. 2010. Extracting Emotion Topics from Blog Sentences – Use of Voting from Multi-Engine Supervised Classifiers. 2nd International Workshop on Search and Mining User-generated Contents (SMUC 2010) of 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp. 119-126, doi:10.1145/1871985.1872004, ISBN: 978-1-4503-0386-6, October 30, Toronto, Canada.
    8. P. Pakray, P.Bhaskar, S. Pal, D.Das, S.Bandyopadhyay and A. Gelbukh. 2010. JU_CSE_TE: System Description QA@CLEF 2010 – ResPubliQA. Notebook Paper for the CLEF 2010 LABs Workshop. Multi Lingual Question answering (MLQA 2010)
    9. D. Das and S. Bandyopadhyay. 2010. Discerning Emotions of Bloggers based on Topics – a Supervised Coreference Approach in Bengali. In the proceedings of the 22nd Conference on Computational Linguistics and Speech Processing (ROCLING 2010), pp. 350-360, Puli, Nantou, Taiwan.
    10. D. Das and S. Bandyopadhyay. 2010. Identifying Emotion Topic - An Unsupervised Hybrid Approach with Rhetorical Structure and Heuristic Classifier. In the proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2010), doi: 10.1109/NLPKE.2010.5587777, ISBN 978-1-4244-6896-6, INSPEC Accession Number: 11568297, August 21-23, pp. 1-8, Beijing, China.
    11. D. Das, S. Pal, T. Mondal, T. Chakroborty and S. Bandyopadhyay. 2010. Automatic Extraction of Complex Predicates in Bengali. In the Workshop on Multiword Expressions: from theory to Applications (MWE 2010), 23rd International Conference on Computational Linguistics (COLING 2010), pp.36-44, August 28, Beijing, China.
    12. D. Das and S. Bandyopadhyay. 2010. Labeling Emotion in Bengali Blog Corpus – A Fine Grained Tagging at Sentence Level. In the 8th Workshop on Asian Language Resources (ALR8), 23rd International Conference on Computational Linguistics (COLING 2010), pp. 47-55, August 21-22, Beijing, China.
    13. S. Pal, P. Pakray, D. Das and S.Bandyopadhyay.2010. JU. A Supervised Approach to Identify Semantic Relations from Paired Nominals. In the proceedings of the 5th International Workshop on Semantic Evaluation (SEMEVAL-2010), 48th Annual Meeting of the Association for Computational Linguistics (ACL), pp.206-209, Uppsala, Sweden.
    14. S. Pal, T. Mondal, P. Pakray, D. Das and S.Bandyopadhyay. 2010. QGSTEC System Description – JUQGG: A Rule based approach. In the proceedings of 3rd Workshop on Question Generation (QGSTEC-2010), pp. 76-79, Pittsburgh, USA.
    15. D.Das and S.Bandyopadhyay. 2010. Developing Bengali WordNet Affect for Analyzing Emotion. In the proceedings of the 23rd International Conference on the Computer Processing of Oriental Languages (ICCPOL-2010), pp. 35-40, California, USA. 

    2009

    1. D.Das, A.Ekbal, and S.Bandyopadhyay. 2009. Acquiring Verb Subcategorization Frames in Bengali from Corpora. In Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL-2009), Language Technology for the Knowledge-based Economy , W. Li and D. Mollá-Aliod (Eds.), LNCS vol. 5459, pp. 386-393, Hong Kong.
    2. D.Das and S. Bandyopadhyay. 2009. Emotion Tagging – A Comparative Study on Bengali and English Blogs. In the proceedings of 7th International Conference on Natural Language Processing, (ICON-2009), pp. 177-184, IIITH, India.
    3. D.Das and S.Bandyopadhyay. 2009. Analyzing Emotion in Blog and News at Word and Sentence Level. In the Workshop of Web 2.0 and Natural Language and Engineering Tasks of the 4th Indian International Conference on Artificial Intelligence (Web 2 NLE, IICAI-2009), pp. 1402-1414, Tumkur, Bangalore.
    4. S. Banerjee, D.Das and S.Bandyopadhyay. 2009. Bengali Verb Subcategorization Frame Acquisition - A Baseline Model. In Proceedings of the 7th Workshop of Asian Language Resources (ALR-7), Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP-2009), pp. 76-83.  Suntec, Singapore.
    5. D.Das and S.Bandyopadhyay. 2009. Word to Sentence Level Emotion Tagging for Bengali Blogs. In Proceedings of Conference Short Papers, Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP-2009),  pp.149-152. Suntec, Singapore.
    6. D.Das and S.Bandyopadhyay. 2009. Sentence Level Emotion Tagging. In the proceedings of the 2009 International Conference on Affective Computing & Intelligent Interaction (ACII-2009). DOI:10.1109/ACII.2009.5349598, pp. 375-380, Amsterdam, Netherlands.

    Shared Tasks

    1. Adnan Khurshid, D. Das, Rajdeep Khaskel and Suchanda Datta. 2024. JU_NLP_DID at Touché: An Attempt to Identify Aspects of Power from Parliamentary, Notebook for the Touché Lab at CLEF 2024, CLEF 2024: Conference and Labs of the Evaluation Forum  
    2. Adnan Khurshid and D. Das. 2024. Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pp. 1015-1018, Association for Computational Linguistics  
    3. P. S. Sengupta, S. Sarkar, D. Das. 2024. HIJLI_JU at SemEval-2024 Task 7: Enhancing Quantitative Question Answering Using Fine-tuned BERT Models, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pp. 279-284, SemEval 2024  
    4. Sohan Choudhury, Priyam Saha, Subharthi Ray, Shankha Shubhra Das and Dipankar Das. 2024. AlphaIntellect at SemEval-2024 Task 6: Detection of Hallucinations in Generated Text, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pp.952-958  
    5. Shankha Shubhra Das, Sohan Choudhury, Priyam Saha and Dipankar Das. 2024. VaxTweetClassifier: BERT for Dealing with Vaccination Tweets  
    6. S. Sarkar, N. Tudu and D. Das. 2023. HIJLI-JU-CLEF at MULTI-Fake-DetectiVE: Multimodal Fake News Detection Using Deep Learning Approach, In CEUR proceeding of EVALITA 2023: 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, Sep 7 – 8, Parma, IT  
    7. S. Sarkar, D. Das, P. Pakray, D. Pinto D. 2022. ”Formula Retrieval Using Structural Similarity”. CLEF 2022: Conference and Labs of the Evaluation Forum, September 5–8, 2022, Bologna, Italy, Vol-3180, pp. 138–146  
    8. S. Pan, P. Nandi, D. Das. 2021. Team JU_PAD @ AutoMin 2021: MoM Generation from Multiparty Meeting Transcript. Proc. First Shared Task on Automatic Minuting at Interspeech 2021, pp. 49-52  
    9. P. Nandi and D. Das. 2021. Detection of Hate or Offensive Phrase using Magnified Tf-Idf. CEUR Workshop Proceedings of HASOC Shared Task @ FIRE, Forum for Information Retrieval Evaluation  
    10. S. Mazumder and D. Das, 2020. Rhetorical Role Labeling for Legal Judgments Using ROBERTA AILA, FIRE  
    11. S. Mazumder and D. Das, 2020. Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder. Notebook for PAN at CLEF 2020  
    12. S. K. Mahata, D. Das, S. Bandyopadhay. 2020. “JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags”, FIRE2020-Dravidian CodeMix Shared Task  
    13. A. Garain, S. K. Mahata, D. Das. 2020. JU@SentiMix-2020:Sentiment Analysis of Hindi-English code mixed data. SemEval 2020, Task 9: Sentiment Analysis for Code-Mixed Social Media Text. arXiv preprint arXiv:2007.12561  
    14. S. Mahata, A. Garain, A. Rayala, D. Das, and S. Bandyopadhyay. 2019. "JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English." In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pp. 283-286  
    15. S. Mahata, D. Das and S. Bandyopadhyay. 2018. JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English, In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pp. 445-448  
    16. B. G. Patra, G. Das, and D. Das. 2018. Multimodal Author Proling for Arabic, English, and Spanish - Notebook for PAN at CLEF 2018. In Proceedings of the PAN 2018 at CLEF-2018, Avignon, France  
    17. Somnath Banerjee, Partha Pakray, Riyanka Manna, Dipankar Das, Alexander Gelbukh. NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis. IJCNLP 2017. The Eighth International Joint Conference on Natural Language Processing. Proceedings of the IJCNLP 2017, Shared Tasks. November 27 – December 1, 2017. Taipei, Taiwan. Asian Federation of Natural Language Processing, pp. 180–183  
    18. B. G. Patra, D. Das, and A. Das. 2018. Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL Code-Mixed Shared Task @ICON-2017. Computation and Language (cs.CL), arXiv:1803.06745  
    19. Sandip Sarkar, Dipankar Das, and Partha Pakray. 2017. JU_NITM: A classification approach for answer selection in multi-choice question answering system. In Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 213–216, Taipei, Taiwan, November 27– December 1, 2017  
    20. M. Dey, A. Mondal, D. Das. 2017. JUNLP: IJCNLP-2017 RevOpiD-A Rank Prediction Model for Review Opinion Diversification. IJCNLP 2017, Task 3: Review Opinion Diversification, pp. 138-142  
    21. A. Pramanik, S. Mandi, M. Dey, D. Das. 2017. SciSumm 2017: Employing Word Vectors for Identifying, Classifying and Summarizing Scientific Documents. The 3rd Computational Linguistics Scientific Document Summarization Shared Task (CL-SciSumm 2017)  
    22. S. K. Mahata, D. Das and S. Bandyopadhyay. 2017. BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora. In Proceedings of the 10th Workshop on Building and Using Comparable Corpora, pp. 56-59. 2017, ACL  
    23. S. K. Mahata, D. Das and S. Bandyopadhyay. 2017. MTIL Special Issue on Deep Learning for NLP" in the Journal of Intelligent Systems  
    24. A. Pramanik and D. Das. JU_CSE_NLP@SemEval 2017 Task 7: Employing Rules to Detect and Interpret English Puns, SemEval 2017  
    25. Sandip Sarkar, Saurav Saha, Jereemi Bentham, Partha Pakray, Dipankar Das, Alexander Gelbukh. NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection. Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation. Kolkata, India, December 7–10, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1737, CEUR-WS.org, 2016, pp. 256–259  
    26. A. Chanda, D. Das and C. Mazumder. 2016. Code-Mixing in English Spanish, Shared task on Linguistic Code-Switching, EMNLP (4th Position)  
    27. S. Dasgupta, A. Kumar, D. Das, S. Naskar and S. Bandyopadhyay. 2016. Word Embeddings for Information Extraction from Tweets. FIRE 2016 Working Notes on IE from Microblog posted during disasters. pp.71-73 (2nd Position)  
    28. S. K. Mahata, D. Das and S. Pal. 2016. WMT2016: A Hybrid Approach to Bilingual Document Alignment. In Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, pp. 724-727. 2016, ACL  
    29. S. Ghosh, P. Maitra and D. Das. 2016. Feature Based Approach to Named Entity Recognition and Linking for Tweets. NEEL@Microposts, WWW  
    30. P. Maitra and D. Das. 2016. JUNLP: A Language Independent Approach for to Hypernym Identification. Proceedings of SemEval-2016, pages 1201–1205, San Diego, California, June 16-17, Association for Computational Linguistics  
    31. Sandip Sarkar, Dipankar Das, Partha Pakray, Alexander Gelbukh,”JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio”, at Proceedings of SemEval2016, pages 702-–705, San Diego, California, June 16-17, 2016. Association for Computational Linguistics  
    32. B. G. Patra, N. Ganguly, D. Das, S. Bandyopadhyay. 2016. JU NLP: Identifying Complex Words in a Sentence. Proceedings of SemEval-2016, pages , San Diego, California, pp. 911-915, June 16-17, Association for Computational Linguistics (ACL)  
    33. B. G. Patra, D. Das, S. Bandyopadhyay. 2016. JU NLP: Stance Detection using Support Vector Machines. Proceedings of SemEval-2016, pages , San Diego, California, June 16-17, pp. 452-456, Association for Computational Linguistics (ACL)  
    34. M. Dey, A. Mondal and D. Das. 2016. NTCIR-12 MOBILECLICK: Sense -based Ranking and Summarization of English Queries. Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, pp. 138-142, June 7-10, 2016 Tokyo Japan  
    35. S. Gosh, S. Gosh and D. Das. 2015. Query Word Labeling using Conditional Random Field. Working Note, Shared Task on Mixed Script Information Retrieval, FIRE 2015, pp.31-34  
    36. B. G. Patra, P. Maitra, D. Das S. Bandyopadhyay. 2015. Regression based Approach to Music Emotion Task. MediaEval 2015: in conference track of "Emotion in Music".  
    37. B. G. Patra, S. Banerjee, D. Das, T. Saikh and S. Bandyopadhyay. 2013. Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013. In 9th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2013) with CLEF-2013.  
    38. P. Pakray, P.Bhaskar, S. Pal, D.Das, S.Bandyopadhyay and A. Gelbukh. 2010. JU_CSE_TE: System Description QA@CLEF 2010 – ResPubliQA. Notebook Paper for the CLEF 2010 LABs Workshop. Multi Lingual Question answering (MLQA 2010)  
    39. S. Pal, P. Pakray, D. Das and S.Bandyopadhyay. 2010. JU. A Supervised Approach to Identify Semantic Relations from Paired Nominals. In the proceedings of the 5th International Workshop on Semantic Evaluation (SEMEVAL-2010), 48th Annual Meeting of the Association for Computational Linguistics (ACL), pp.206-209, Uppsala, Sweden.  
    40. S. Pal, T. Mondal, P. Pakray, D. Das and S.Bandyopadhyay. 2010. QGSTEC System Description – JUQGG: A Rule based approach. In the proceedings of 3rd Workshop on Question Generation (QGSTEC-2010), pp. 76-79, Pittsburgh, USA  
    41. P. Maitra, S. Ghosh and D. Das. 2015. Authorship Verification – An Approach based on Random Forest Based Approach Notebook for PAN at CLEF 2015. In 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2015) with CLEF-2015, vo. 1391, pp. 134  

Research Projects

Education is the key to unlock the golden door of freedom.

DRDO Project: “Claim Detection and Verification using Deep NLP : an Indian Prospective”, joint collaboration with IIT Kharagpur and sponsored and collaborated with DEFENCE RESEARCH AND DEVELOPMENT ORGANISATION (DRDO)

IMPRINT II Project: "Sevak – An Intelligent Indian Language Chatbot, Partners: IIT Patna, IIIT Hyderabad, & Wipro, Funding Agency: MietY, India

RUSA 2.0 Project: "DETECT BEHAVIORAL MALADJUSTMENTS OF STUDENTS THROUGH SENTIMENT ANALYSIS FROM SOCIAL MEDIA, Funding Agency: RUSA2.0, Jadavpur University

RUSA 2.0 Project: "Preparing annotated corpus of three lesser known languages of West Bengal, Funding Agency: RUSA2.0, Jadavpur University

JU Minor Project: "Psychological Keywords Identification using Textual Emotion Analysis, Funding Agency: Jadavpur University

collaboration

Collaboration is Multiplication.

My collaborators are listed below:

Prof. (Dr.) Sivaji Bandyopadhyay (National Institute of Technology, Silchar, India)
Prof. (Dr.) Alexander Gelbukh (Centro de Investigación en Computación, Instituto Politécnico Nacional)
Dr. Partha Pakray (National Institute of Technology, Mizoram, India)
Dr. Erik Cambria (Nanyang Technological University, Singapore)
Dr. David Pinto (Mexico)
Dr. Paolo Rosso (Universitat Politècnica de València, Spain)
Dr. Takamura (Japan)
Dr. Asif Ekbal (Indian Institute of Technology, Patna, India)
Dr. Amitava Das (Indian Institute of Information Technology, Sri City, Chittoor, India)
Dr. Tanmoy Chakraborty (Indraprastha Institute of Information Technology, Delhi, India)

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