Trending repositories for topic topic-modeling
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
Top2Vec learns jointly embedded topic, document and word vectors.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
Beautiful visualizations of how language differs among document types.
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
Interact, analyze and structure massive text, image, embedding, audio and video datasets
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Top2Vec learns jointly embedded topic, document and word vectors.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
Beautiful visualizations of how language differs among document types.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Top2Vec learns jointly embedded topic, document and word vectors.
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Beautiful visualizations of how language differs among document types.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
Resources for learning about Text Mining and Natural Language Processing
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
A Python toolbox for gaining geometric insights into high-dimensional data
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Blazing fast topic modelling for short texts.
A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sci...
Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Resources for learning about Text Mining and Natural Language Processing
A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sci...
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Top2Vec learns jointly embedded topic, document and word vectors.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Beautiful visualizations of how language differs among document types.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
TopicGPT allows to integrate the benefits of LLMs into Topic Modelling
A Python toolbox for gaining geometric insights into high-dimensional data
An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具，仅占35M内存 www.jionlp.com
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
Interact, analyze and structure massive text, image, embedding, audio and video datasets
A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
Blazing fast topic modelling for short texts.
Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)
无监督中文关键词抽取（Keyphrase Extraction），基于统计，基于图【LDA与PageRank（TextRank， TPR， Salience Rank， Single TPR等）】，基于嵌入【SIFRank等】，开箱即用！
The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universa...
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).