word2vec-model

Data repository for pretrained NLP models and NLP corpora.

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.

Go library for performing computations in word2vec binary models

word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch

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 models with Twitter data using Spark. Blog:

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

🎓 Open knowledge mining and graph builder

Python CLI to apply word2vec to all sorts of text documents.

Script that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).

Word2Vec model trained across 640k+ materials science journal articles

A resume filtering based on natural language processing

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

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

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

Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.

simple Word2vec from scratch using tensorflow for understanding

A deep learning project to tell a story with an image or a video.

How are words loaded with meaning? Repository to accompany research paper in preparation 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."

Intelligent Word Embeddings of Free-Text Radiology Reports

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Word2VecfJava: Java implementation of Dependency-Based Word Embeddings and extensions

vulnerability detection in python source code with LSTM networks

Text similarity based on Word2Vec vectors.

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

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

TensorFlow/Keras experiments on computer vision and natural language processing