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Natural Language Processing in Action
book

Natural Language Processing in Action

by Cole Howard, Hobson Lane, Hannes Hapke
April 2019
Intermediate to advanced content levelIntermediate to advanced
544 pages
17h 29m
English
Manning Publications
Content preview from Natural Language Processing in Action

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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