Post date: Oct 19, 2018 6:32:25 AM
Google's Word2Vec is a deep-learning inspired method that focuses on the meaning of words. Word2Vec attempts to understand meaning and semantic relationships among words. It works in a way that is similar to deep approaches, such as recurrent neural nets or deep neural nets, but is computationally more efficient.
Chris McCormick: word2vec tutorial
Chris McCormick: word2vec resources
Kaggle: Using word2vec for movie reviews
Brian Ho: Trained a word2vec model for Bahasa and Singlish !
Madhu Sanjeevi: NLP - Code for Word2Vec neural network (TensorFlow)