articleNatural Language EngineeringDec 16, 2016HYBRID OA

Word2Vec

IBM (United States)

Indexed incrossref

Abstract

Abstract My last column ended with some comments about Kuhn and word2vec. Word2vec has racked up plenty of citations because it satisifies both of Kuhn’s conditions for emerging trends: (1) a few initial (promising, if not convincing) successes that motivate early adopters (students) to do more, as well as (2) leaving plenty of room for early adopters to contribute and benefit by doing so. The fact that Google has so much to say on ‘How does word2vec work’ makes it clear that the definitive answer to that question has yet to be written. It also helps citation counts to distribute code and data to make it that much easier for the next generation to take advantage of the opportunities (and cite your work in the…

Citation impact

925
total citations
FWCI
2.61
Percentile
100%
References
23
Citations per year

Authors

1

Topics & keywords

Keywords
  • Word2vec
  • Computer science
  • Column (typography)
  • Process (computing)
  • Data science
  • World Wide Web
  • Artificial intelligence
  • Telecommunications
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