Word2Vec with Gensim Python
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#Word2Vec #Gensim #Python • Word2Vec is a popular word embedding used in a lot of deep learning applications. In this video we use Gensim to train a Word2Vec model with reddit world news dataset. • We learn how to use skip gram and continuous bag of words (cbow) with gensim. • We also use a pre trained word2vec model. • We then play with the famous results of Word2Vec like King - man + woman = Queen , Germany - Berlin + Paris = France. • Reddit world news dataset : https://www.kaggle.com/rootuser/world... • Pretrain Word2vec model : https://drive.google.com/file/d/0B7Xk... • • Intro: (0:00) • Installing Gensim: (0:30) • Training word2vec model : (1:00) • Using pre-trained word2vec model : (4:51)
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