April 2017
Beginner to intermediate
358 pages
9h 30m
English
URL: https://radimrehurek.com/gensim/models/word2vec.html
Word embeddings are receiving a lot of interest from research and industry, for a good reason: they perform very well on many text mining tasks. They are a big more complicated than the bag-of-words model and create larger models. Word embeddings are great features when you have lots of data and can even help in some cases with smaller amounts.
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