Sentiment Classification of Russian Texts Using Automatically Generated Thesaurus

This paper is devoted to an approach for sentiment classification of Russian texts applying an automatic thesaurus of the subject area. This approach consists of a standard machine learning classifier and a procedure embedded into it, that uses the- saurus relationships for better sentiment analysis....

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Bibliographic Details
Main Authors: Ksenia Lagutina, Vladislav Larionov, Vladislav Petryakov, Nadezhda Lagutina, Ilya Paramonov
Format: Article
Language:English
Published: FRUCT 2018-11-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct23/files/Lag.pdf