Communications in Computer and Information Science, pages 18-32
SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis
Publication type: Book Chapter
Publication date: 2019-11-13
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 18650929
Abstract
Most sentiment lexicons include individual words rather than collocations. However, the use of collocations can improve the performance of sentiment analysis since the meaning of some collocations cannot be derived from the meaning of their constituents, for example, “
” (“kick the bucket”) or “
” (“it is impossible to take one’s eyes off something”). In our study, we create sentiment collocation lexicons for ten domains – reviews of books, movies, music, cars, computers, house appliances, phones, banks, hotels and restaurants. The lexicons are built on the basis of a semi-automatic approach using the corpora of reviews. What is more, we form a universal SentiRusColl lexicon with the help of union of created domain-oriented lexicons. We demonstrate the possibility of using the generated lexicon for various domains. In addition, we reveal the improved performance of sentiment analysis when union of SentiRusColl and existing lexicon – RuSentiLex – is used.
Citations by journals
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2
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Lecture Notes in Computer Science
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Lecture Notes in Computer Science
2 publications, 28.57%
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Communications in Computer and Information Science
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Communications in Computer and Information Science
1 publication, 14.29%
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Scientific Programming
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Scientific Programming
1 publication, 14.29%
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2
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Citations by publishers
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Springer Nature
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Springer Nature
3 publications, 42.86%
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IEEE
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IEEE
2 publications, 28.57%
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Hindawi Limited
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Hindawi Limited
1 publication, 14.29%
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3
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Kotelnikova A., Kotelnikov E. SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis // Communications in Computer and Information Science. 2019. pp. 18-32.
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Kotelnikova A., Kotelnikov E. SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis // Communications in Computer and Information Science. 2019. pp. 18-32.
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TY - GENERIC
DO - 10.1007/978-3-030-34518-1_2
UR - https://doi.org/10.1007%2F978-3-030-34518-1_2
TI - SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis
T2 - Communications in Computer and Information Science
AU - Kotelnikova, Anastasia
AU - Kotelnikov, Evgeny
PY - 2019
DA - 2019/11/13 00:00:00
PB - Springer Nature
SP - 18-32
SN - 1865-0929
ER -
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@incollection{2019_Kotelnikova,
author = {Anastasia Kotelnikova and Evgeny Kotelnikov},
title = {SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis},
publisher = {Springer Nature},
year = {2019},
pages = {18--32},
month = {nov}
}