Word2Vec with Gensim - Python

Опубликовано: 28 Октябрь 2024
на канале: The Semicolon
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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)