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Concentration Areas of Sentiment Lexica in the Word Embedding Space

Concentration Areas of Sentiment Lexica in the Word Embedding Space

Elena Razova, Evgeny Kotelnikov
Copyright: © 2019 |Volume: 13 |Issue: 2 |Pages: 15
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781522564577|DOI: 10.4018/IJCINI.2019040104
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MLA

Razova, Elena, and Evgeny Kotelnikov. "Concentration Areas of Sentiment Lexica in the Word Embedding Space." IJCINI vol.13, no.2 2019: pp.48-62. http://doi.org/10.4018/IJCINI.2019040104

APA

Razova, E. & Kotelnikov, E. (2019). Concentration Areas of Sentiment Lexica in the Word Embedding Space. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 13(2), 48-62. http://doi.org/10.4018/IJCINI.2019040104

Chicago

Razova, Elena, and Evgeny Kotelnikov. "Concentration Areas of Sentiment Lexica in the Word Embedding Space," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 13, no.2: 48-62. http://doi.org/10.4018/IJCINI.2019040104

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Abstract

Sentiment lexicons play an important role in opinion mining systems and cognitive linguistics. Previous work aimed mostly at creating sentiment lexicons, but not thorough research into their fundamental properties. In this paper the arrangement of sentiment lexica in the multidimensional space of distributed word representations is studied. A hypothesis on the existence of sentiment lexica concentration areas is introduced and it is tested on the basis of the joint analysis of the distribution of sentiment words and general lexica. The results of the test allow to confirm the proposed hypothesis and discover the words which more than 80% of the sentiment lexica is concentrated around.

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