Top "Word2vec" questions

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words.

How to calculate the sentence similarity using word2vec model of gensim with python

According to the Gensim Word2Vec, I can use the word2vec model in gensim package to calculate the similarity …

python gensim word2vec
How to use word2vec to calculate the similarity distance by giving 2 words?

Word2vec is a open source tool to calculate the words distance provided by Google. It can be used by …

word2vec
Doc2vec: How to get document vectors

How to get document vectors of two text documents using Doc2vec? I am new to this, so it would …

python gensim word2vec
How to get vector for a sentence from the word2vec of tokens in sentence

I have generated the vectors for a list of tokens from a large document using word2vec. Given a sentence, …

word2vec
gensim error : no module named gensim

I trying to import gensim. I have the following code import gensim model = gensim.models.Word2Vec.load_word2vec_…

python linux gensim word2vec
gensim word2vec: Find number of words in vocabulary

After training a word2vec model using python gensim, how do you find the number of words in the model's …

python neural-network nlp gensim word2vec
Convert word2vec bin file to text

From the word2vec site I can download GoogleNews-vectors-negative300.bin.gz. The .bin file (about 3.4GB) is a binary format …

python c gensim word2vec
How to use Gensim doc2vec with pre-trained word vectors?

I recently came across the doc2vec addition to Gensim. How can I use pre-trained word vectors (e.g. found …

python nlp gensim word2vec doc2vec
word2vec: negative sampling (in layman term)?

I'm reading the paper below and I have some trouble , understanding the concept of negative sampling. http://arxiv.org/pdf/1402.3722…

machine-learning nlp word2vec
CBOW v.s. skip-gram: why invert context and target words?

In this page, it is said that: [...] skip-gram inverts contexts and targets, and tries to predict each context word from …

nlp tensorflow deep-learning word2vec word-embedding