Word2Vec with Gensim - Python 

#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 : www.kaggle.com/rootuser/world...
Pretrain Word2vec model : 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)