May 18, 2018 · The aim of this paper is to analyze the influence of sentiment-related terms on the automatic detection of topics in social networks.
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The aim of this paper is to analyze the influence of sentiment-related terms on the automatic detection of topics in social networks. The study is based on ...
We describe a computationally feasible approach to perceptual computing in large social networks, where the attribute memberships and relationship strengths are ...
Fuzzy Analysis of Sentiment Terms for Topic Detection Process in Social Networks. https://doi.org/10.1007/978-3-319-91476-3_1.
Fuzzy Queries of Social Networks involving Sentiment Analysis and Topic Detection ... terms of fuzzy logic providing a score associated with a certain fuzzy ...
Jun 20, 2023 · The study presents an elaborate review of the around 170 published research works for SA using fuzzy logic.
In addition to emojis, certain abbreviations can be analysed in terms of emotion, such as the acronym LOL meaning Laugh Out Loud, and could be categorised as ...
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Sep 4, 2024 · This study simulate a fuzzy deep system integrated with ontology for classifying social visual data (shared images) into panic, no-panic or neutral classes.
Oct 22, 2024 · We analyze the influence of sentiments in messages and how they affect the topic detection task. Terms related to sentiments provide useful ...
Dec 15, 2018 · By using FSA-SPARQL, nice queries can be formulated against these social networks, involving sentiment analysis and topic detection as well as ...