Word2vec Python Packages

gensim

Topic Modelling for Humans

flashtext

Extract Keywords from sentence or Replace keywords in sentences.

navec

Compact high quality word embeddings for Russian language

sent2vec

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

scattertext

Beautiful visualizations of how language differs among document types.

vectorhub-nightly

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

word2vec

Python interface to Google word2vec

embedding-as-service

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

reach

Load embeddings and featurize your sentences.

text2vec

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

spec2vec

Word2Vec based similarity measure of mass spectrometry data.

textaugment

TextAugment: Text Augmentation Library

sense2vec

🦆 Contextually-keyed word vectors

sword2vec

A simple skipgram word2vec implementations

embeddings-plot

A command line utility to create a plots of word embeddings

vectorhub

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

sourced-ml

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

textembedding

计算文本相似度时经常需要用到的算法包

numpy-ml

Machine learning, in numpy

lightnlp

基于Pytorch和torchtext的自然语言处理深度学习框架。

glove-py

An implementation of GloVe in C++ 11 with python interface

vngrs-nlp

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

tf-word2vec

Word2Vec implentation with Tensorflow Estimators and Datasets

persian-sentiment-analyzer

This repository contains code and tools for sentiment analysis of Persian customer reviews and feedback. Using Natural Language Processing (NLP) techniques, this project helps you transform Persian customer reviews into interpretable data and gain valuable insights to enhance the shopping experience.