Open Access

Susmitha Bezawada, Charanjitha, V. Reddy, Naveena, V. Gupta

2016.12.16Natural Language Engineering

DOI: 10.1017/s1351324916000334

tlooto Summary

word2vec satisifies both of Kuhn’s conditions for emerging trends: a few initial initial successes that motivate early adopters (students) to do more, as well as leaving plenty of room forEarly adopters to contribute and benefit by doing so.

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 process).

Citation format

BEZAWADA, Susmitha, et al. Word2vec. Natural Language Engineering, 2016, 23: 155–162.