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Hao Hu
Hao Hu

Hao Hu

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From A gentle introduction to Doc2Vec by Gidi Shperber

As said, the goal of doc2vec is to create a numeric representation of a document, regardless of its length. But unlike words, documents do not come in logical structures such as word…

From A gentle introduction to Doc2Vec by Gidi Shperber

dere…tead of prediciting one word each time, we use 1 word to predict all surrounding words (“context”). Skip gram is much slower than CBOW, but considered more accurate with infrequent words.

From A gentle introduction to Doc2Vec by Gidi Shperber

So how is it done? word2vec representation is created using 2 algorithms: Continuous Bag-of-Words model (CBOW) and the Skip-Gram model.

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Learn Word2Vec by implementing it in tensorflow

aneesh joshi