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 confidence scores!

aovec

Make Word2Vec from aozorabunko/aozorabunko

srsparser

📑 Semi-structured documents parser using Python and NLP algorithms

log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs

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.

pyresearchinsights

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

pyelit

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

topicblob

TopicBlob is a package to perform quick and easy topic modeling on text.

word-mover-distance

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

signs

A suite of tools for text preparation, vectorization and processing for deep learning with Keras.

centroid-summarizer

Extractive text summarization using centroid distance

seaqube

Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. The shortname is `SeaQuBe` or `seaqube`. Simple call it '| ˈsi: kjuːb |'

pelican-similar-posts

Pelican plugin to add 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)

choto

CLI tool to generate a summary of news/articles right on your terminal. Also a pip package.

robics

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