Popular GitHub Repositories for Word2vec Model

Compute Sentence Embeddings Fast!

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

vulnerability detection in python source code with LSTM networks

中文文本分析工具、数据集和预训练模型资源合集

基于Word2Vec+SVM对电商的评论数据进行情感分析

Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec

Word2Vec 400M Tweets Embedding model based on https://www.fredericgodin.com/software/

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

How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603

Implementa??o e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

simple Word2vec from scratch using tensorflow for understanding

The project is based on a multi-label classification problem in NLP.

Intelligent Word Embeddings of Free-Text Radiology Reports

a generic approach to the supervised sentiment analysis of social media content in foreign languages

Text similarity based on Word2Vec vectors.

Enhances the vocabulary of a text to a more advanced one through Word2Vec and Machine Learning.

Vietnamese Student Feedback Sentiment Analysis

Continuous Bag of Words (CBOW)

Word2Vec Library