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Showing posts with the label Gensim

When Should I Consider To Use Pretrain-model Word2vec Model Weights?

Suppose my corpus is reasonably large - having tens-of-thousands of unique words. I can either use … Read more When Should I Consider To Use Pretrain-model Word2vec Model Weights?

How To Use The Infer_vector In Gensim.doc2vec?

def cosine(vector1,vector2): cosV12 = np.dot(vector1, vector2) / (linalg.norm(vector1) * linalg… Read more How To Use The Infer_vector In Gensim.doc2vec?

Ensure The Gensim Generate The Same Word2vec Model For Different Runs On The Same Data

In LDA model generates different topics everytime i train on the same corpus , by setting the np.ra… Read more Ensure The Gensim Generate The Same Word2vec Model For Different Runs On The Same Data

Typeerror: Doc2bow Expects An Array Of Unicode Tokens On Input, Not A Single String When Using Gensim.corpora.dictionary()

There is a dataframe like this: index terms 1345 ['jays', 'place', '… Read more Typeerror: Doc2bow Expects An Array Of Unicode Tokens On Input, Not A Single String When Using Gensim.corpora.dictionary()

How To Perform Efficient Queries With Gensim Doc2vec?

I’m working on a sentence similarity algorithm with the following use case: given a new sentence, I… Read more How To Perform Efficient Queries With Gensim Doc2vec?

Passing Term-document Matrix To Gensim Lda Model

My term-document matrix is in a numpy matrix format, and I have a dictionary to represent the of t… Read more Passing Term-document Matrix To Gensim Lda Model