Gensim Python Packages

gensim

Topic Modelling for Humans

sense2vec

🦆 Contextually-keyed word vectors

concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

srsparser

📑 Semi-structured documents parser using Python and NLP algorithms

aovec

Make Word2Vec from aozorabunko/aozorabunko

pyresearchinsights

End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.

log-anomaly-detector

Log anomaly detector for streaming logs

topicblob

Text to Topics

word-mover-distance

Compute Word Mover's Distance using a generic word embedding model

shallowlearn

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

pyelit

Repository for the development of a library with features of: Geoparsing and Topic Modeling

signs

Signs Text Processing for Deep Learning

seaqube

Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. Acronym `SeaQuBe` or `seaqube`.

centroid-summarizer

Python package for extractive text summarization using centroid distance

pelican-similar-posts

Pelican plugin to list similar posts to articles, based on a vector space model.

sptm

Sentence Topic Prediction using Topic Modeling

cusim

Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)

robics

Automatic detection of robust parametrizations for LDA and NMF. Compatible with scikit-learn and gensim.

choto

A CLI tool that summarizes news and articles.