i have trained glove ~5m spanish articles. know how load glove in gensim , use if word2vec model. facing problem of topic modelling , keywords extraction news articles (also in spanish) wondering how use trained model so.
how it?
your question on how use word2vec model general answer likewise.
what word2vec allows provide "better" representation of words. perhaps if using "bag of words" feature in topic modelling can replace "bag of word vectors" word2vec give better semantic similarity. perhaps better keywords too.
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