Trending repositories for topic topic-modeling
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.
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
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.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Top2Vec learns jointly embedded topic, document and word vectors.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Beautiful visualizations of how language differs among document types.
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
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...
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.).
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
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...
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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.).
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Beautiful visualizations of how language differs among document types.
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.).
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
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...
A Python toolbox for gaining geometric insights into high-dimensional data
[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Interact, analyze and structure massive text, image, embedding, audio and video datasets
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...
A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
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).
Linear programming solver for paper-reviewer matching and mind-matching
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)
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.
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
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...
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
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 !!
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！
Interact, analyze and structure massive text, image, embedding, audio and video datasets
BERT 기반의 문맥을 반영한 한국어 토픽 모델링 (BERT Contextualized Topic Models)
A collection of topic diversity measures for topic modeling
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...
Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
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
Model zoo for topic models, neural topic models, contextual embeddings for topic models ...
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)