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gensim is the python library for topic modelling. multi-dimensional vector representation of words or sentences which preserves semantic meaning is computed through word2vec and doc2vec models.
1
vote
Fasttext error while loading wiki pre-trained data
Also, you could FastText Library directly without really having to install gensim to do the same. …
5
votes
word2vec word embeddings creates very distant vectors, closest cosine similarity is still ve...
Let us try and understand how Word2Vector actually works before looking at distances:
There are 2 ways of generating vectors for a word :
Continuous bag of words
Skip grams
The following diagram …