Communications in Computer and Information Science, pages 139-151
A Comparative Study of Publicly Available Russian Sentiment Lexicons
Publication type: Book Chapter
Publication date: 2018-09-26
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 18650929
Abstract
Sentiment lexicons play an important role in the systems of sentiment analysis and opinion mining. The article takes a look into eight publicly available Russian sentiment lexicons of today. A joint analysis of these lexicons was done by finding unions and intersections of the lexicons and also analysing the distribution of parts of speech. In order to study the quality of the lexicons, a sentiment classification is made based on the SVM and the TF-IDF model. Text corpora from reviews of works of art (books and movies), organizations (banks and hotels) and goods (kitchen appliances) are made for this purpose. Lexicons are compared in terms of their classification quality, and also on the basis of a linear regression model that reflects the dependence of their F1-measure on their TF-IDF model size. The resulting union lexicon most fully reflects the sentiment lexica of the present day Russian language and can be used both in scientific research and in applied sentiment analysis systems.
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Citations by publishers
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Russian Institute for Scientific and Technical Information - VINITI RAS
1 publication, 9.09%
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1 publication, 9.09%
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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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Kotelnikov E. et al. A Comparative Study of Publicly Available Russian Sentiment Lexicons // Communications in Computer and Information Science. 2018. pp. 139-151.
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Kotelnikov E., Peskisheva T., Kotelnikova A., Razova E. A Comparative Study of Publicly Available Russian Sentiment Lexicons // Communications in Computer and Information Science. 2018. pp. 139-151.
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TY - GENERIC
DO - 10.1007/978-3-030-01204-5_14
UR - https://doi.org/10.1007%2F978-3-030-01204-5_14
TI - A Comparative Study of Publicly Available Russian Sentiment Lexicons
T2 - Communications in Computer and Information Science
AU - Kotelnikov, Evgeny
AU - Peskisheva, Tatiana
AU - Kotelnikova, Anastasia
AU - Razova, Elena
PY - 2018
DA - 2018/09/26 00:00:00
PB - Springer Nature
SP - 139-151
SN - 1865-0929
ER -
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@incollection{2018_Kotelnikov,
author = {Evgeny Kotelnikov and Tatiana Peskisheva and Anastasia Kotelnikova and Elena Razova},
title = {A Comparative Study of Publicly Available Russian Sentiment Lexicons},
publisher = {Springer Nature},
year = {2018},
pages = {139--151},
month = {sep}
}