85 Open source projects that are alternatives of or similar to gensimr

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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

Fast topic modeling platform

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

R package for web-based interactive topic model visualization.

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

Various Algorithms for Short Text Mining

semi supervised guided topic model with custom guidedLDA

Resources for learning about Text Mining and Natural Language Processing

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.

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

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

LDA topic modeling for node.js

Pipeline for training LSA models using Scikit-Learn.

A simple Shiny App for Topic Modeling in R

Repo for my talk at the PyData Berlin 2017 conference

BERT, LDA, and TFIDF based keyword extraction in Python

implemented : lsa, plsa, lda

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

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

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

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 …

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Tree-based Autofolding Software Summarization Algorithm

Learning structural topic modeling using the stm R package.