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Distributed representations of words and phrases and their compositionality
The word2vec dataset is a word embedding dataset that contains 3 million words. -
Google News Embeddings
The dataset used in the paper is a word2vec embedding trained on a corpus of Google News texts. -
Word2Vec: A Novel Semi-Supervised Learning Approach for Word Embeddings
Word2Vec is a technique for learning vector representations of words in a text corpus.