About 11,400,000 results
Open links in new tab
  1. 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.

  2. How to fetch vectors for a word list with Word2Vec?

    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 first train …

  3. What are the differences between contextual embedding and …

    Jun 8, 2020 · Word embeddings and contextual embeddings are slightly different. While both word embeddings and contextual embeddings are obtained from the models using …

  4. 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) …

  5. python - Sentences embedding using word2vec - Stack Overflow

    Sep 7, 2020 · Word2vec & related algorithms are very data-hungry: all of their beneficial qualities arise from the tug-of-war between many varied usage examples for the same word. So if you …

  6. 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?

  7. How to load a pre-trained Word2vec MODEL File and reuse it?

    Nov 29, 2017 · import gensim # Load pre-trained Word2Vec model. model = gensim.models.Word2Vec.load("modelName.model") now you can train the model as usual. …

  8. PyTorch / Gensim - How do I load pre-trained word embeddings?

    Apr 8, 2018 · I want to load a pre-trained word2vec embedding with gensim into a PyTorch embedding layer. How do I get the embedding weights loaded by gensim into the PyTorch …

  9. 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 …

  10. word2vec not working using gensim library - Stack Overflow

    Apr 12, 2024 · from gensim.models import Word2Vec from nltk.tokenize import word_tokenize import nltk nltk.download('punkt') # Sample sentences sentences = [ "This is a sample …