My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

Document Search Engine Tool

BERT, LDA, and TFIDF based keyword extraction in Python

Hierarchical, multi-label topic modelling with LDA

A Latent Dirichlet Allocation implementation in Python.

A starting take on a fast and fully local NLP file organizer that organizes files based on their content.

A collection of topic diversity measures for topic modeling

Library of Joint Topic-Sentiment Models

Explores early fusion and late fusion approaches for Multimodal medical Image Retrieval

Implementation of Inferring Networks of Substitutable and Complementary Products Model paper

Perform Latent Dirichlet Allocation on scientific articles with Gensim

Machine Learning and Natural Language Processing of the EEA Corpus via spaCy, Textacy and pyLDAvis and other useful NLP algorithms.

Code and models for the paper "Latent Aspect Detection from Online Unsolicited Customer Reviews"

Topic modeling streamlit app.

Implementation of Disjoint Author-Document Topic Model

REST web service to compute and query Latent Dirichlet Allocation models

Project to develop a recommendation system for scientific papers using databases and unsupervised topic models