121 Open source projects that are alternatives of or similar to Bertopic

Open Source Package for Gibbs Sampling of LDA

CLI for Apache Kafka Management -

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Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Knowledge Graph Embedding LDA. AAAI 2017

Repo for my talk at the PyData Berlin 2017 conference

Sentiment Analysis & Topic Modeling with Amazon Reviews

Resources for learning about Text Mining and Natural Language Processing

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

machine learning

Learning structural topic modeling using the stm R package.

Pipeline for training LSA models using Scikit-Learn.

Messaging with Microsoft Azure in a breeze.

Various Algorithms for Short Text Mining

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

A Latent Dirichlet Allocation implementation in Python.

R package for web-based interactive topic model visualization.

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A client UI to inspect Kafka topics, consume, produce and much more

Latent Dirichlet Allocation

Machine Learning Lectures at the European Space Agency (ESA) in 2018

🛠 Knowledge about the topic of x86 assembly & disassembly 🛠

Experiments with Hugging Face 🔬 🤗

🙋 A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.

Tree-based Autofolding Software Summarization Algorithm

LDA topic modeling for node.js

📝 Topic Modeling for Humans

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A simple Shiny App for Topic Modeling in R

Topic Words in Context (TWiC) is a highly-interactive, browser-based visualization for MALLET topic models

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

Interface for easier topic modelling.

BERT, LDA, and TFIDF based keyword extraction in Python

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

semi supervised guided topic model with custom guidedLDA

Biterm Topic Modelling for Short Text with R

implemented : lsa, plsa, lda

Ensemble topic modelling with pLSA

🚀Dynamic multi process worker queue base on swoole, like gearman but high performance.

Golang library for Azure Service Bus -- https://aka.ms/azsb

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

High performance topic modeling for Ruby

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

机器学习、深度学习、自然语言处理

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

ReactJS library for Pub/Sub communication with an MQTT broker using Hooks

Just a tiny, simple and real-time self-hosted pub/sub messaging service

Explore your own text collection with a topic model – without prior knowledge.

An asynchronous MQTT client library for julia

A Framework for Textual Entailment based Zero Shot text classification

📰 A responsive interface of Hacker News with summaries and thumbnails.

Universal Serverless Web Framework. Write Express apps ready to be deployed to Zeit-Now, Google Cloud Functions (incl. functions reacting to Pub/Sub topics or Storage changes), and AWS Lambdas.

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user …

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Fast topic modeling platform

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Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"