Popular GitHub Repositories for Gensim Word2vec

? Contextually-keyed word vectors

Incremental learning of word embeddings with context informativeness.

Wikidata embedding

NLP with NLTK for Sentiment analysis amazon Products Reviews

Ready to use Spanish Word2Vec embeddings created from >18B chars and >3B words

Aspect-Based Sentiment Analysis

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

A tool to view how Word2Vec represents words in your favourite books.

? Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram

Automnomously attempting a categorical summarization of a sparse, asymmetrical corpus in English language, by performing text classification - which is achieved by our intuitive sentence pair classification scenarios and usecases.

Generate and predict text, using Recurrent Neural Networks. (Keras+Tensorflow+Gensim)

graphsense is a library to train and infer graph embedding based code suggestion models

Sentiment Analysis: approximating Word2Vec results with SPPMI-SVD

NLP - Identify authors from their writings

Train a word2vec model to learn vector representation for words

Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE

Categorizing products of an online retailer based on products’ titles using word2vec word-embedding and DBSCAN (density-based spatial clustering of applications with noise) clustering.

bash script and pytorch implementation for Word2vec models