6 Reasoning with word vectors (Word2vec)
This chapter covers
- Understanding how word vectors are created
- Using pretrained models for your applications
- Reasoning with word vectors to solve real problems
- Visualizing word vectors
- Uncovering some surprising uses for word embeddings
One of the most exciting recent advancements in NLP is the “discovery” of word vectors. This chapter will help you understand what they are and how to use them to do some surprisingly powerful things. You’ll learn how to recover some of the fuzziness and subtlety of word meaning that was lost in the approximations of earlier chapters.
In the previous chapters, we ignored the nearby context of a word. We ignored the words around each word. We ignored the effect the neighbors ...
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