How to use word2vec to calculate the similarity distance by giving …
Word2vec is a open source tool to calculate the words distance provided by Google. It can be used by inputting a word and output the ranked word lists according to the similarity.
How to fetch vectors for a word list with Word2Vec?
Jul 15, 2015 · I want to create a text file that is essentially a dictionary, with each word being paired with its vector representation through word2vec. I'm assuming the process would be to …
How to get vector for a sentence from the word2vec of tokens in ...
Apr 21, 2015 · It is possible, but not from word2vec. The composition of word vectors in order to obtain higher-level representations for sentences (and further for paragraphs and documents) …
How to load a pre-trained Word2vec MODEL File and reuse it?
Nov 29, 2017 · just for loading import gensim # Load pre-trained Word2Vec model. model = gensim.models.Word2Vec.load("modelName.model") now you can train the model as usual. …
Understanding gensim word2vec's most_similar - Stack Overflow
Feb 7, 2019 · The method corresponds to the word-analogy and distance scripts in the original word2vec implementation. I assume, then, that most_similar takes the positive examples and …
Does Gensim library support GPU acceleration? - Stack Overflow
Sep 18, 2016 · Using Word2vec and Doc2vec methods provided by Gensim, they have a distributed version which uses BLAS, ATLAS, etc to speedup (details here). However, is it …
How to get the dimensions of a word2vec vector? - Stack Overflow
Apr 8, 2022 · The vector dimensionality is included as an argument in Word2Vec: In gensim versions up to 3.8.3, the argument was called size (docs) In the latest gensim versions (4.0 …
What's the major difference between glove and word2vec?
May 10, 2019 · What is the difference between word2vec and glove? Are both the ways to train a word embedding? if yes then how can we use both?
Using Word2Vec in scikit-learn pipeline - Stack Overflow
Dec 6, 2020 · I would have also one question about the word2vec in that code. Does it work for you using X in model = gensim.models.Word2Vec(X, size=100) or you need to use …
python - Text similarity using Word2Vec - Stack Overflow
You can use a pre-trained word embedding model (word2vec, glove or fasttext) to get word embeddings. These can be added (vector additions) to represent sentences. The similarity …