Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language

The paper describes application of the semantic rule-based sentiment analysis approach, which was earlier developed and tested on English texts, to the Russian language. In order to take into account specificity of Russian it was adapted, particularly representation of the rules as patterns over a l...

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Autores principales:	Ilya Paramonov, Anatoliy Poletaev
Formato:	article
Lenguaje:	EN
Publicado:	FRUCT 2021
Materias:	sentiment analysis syntax trees semantic rules sentiment dictionary russian language processing Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/219c46efa9cd4977be0505f32cd67abb
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id	oai:doaj.org-article:219c46efa9cd4977be0505f32cd67abb
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spelling	oai:doaj.org-article:219c46efa9cd4977be0505f32cd67abb2021-11-20T15:59:33ZAdaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language2305-72542343-073710.23919/FRUCT53335.2021.9599992https://doaj.org/article/219c46efa9cd4977be0505f32cd67abb2021-10-01T00:00:00Zhttps://www.fruct.org/publications/fruct30/files/Par.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737The paper describes application of the semantic rule-based sentiment analysis approach, which was earlier developed and tested on English texts, to the Russian language. In order to take into account specificity of Russian it was adapted, particularly representation of the rules as patterns over a list of words was replaced with algorithms over the syntax tree of a sentence. The experiments on a quarter of a corpus of sentences extracted from hotel reviews allowed to perform the error analysis and refinement of the approach. The final results on the whole corpus allowed to achieve the results close to the state-of-the-art methods based on neural networks. The advantages of the approach, including simple interpretability of its results and absence of the need of learning, make it perspective for further research in sentiment analysis.Ilya ParamonovAnatoliy PoletaevFRUCTarticlesentiment analysissyntax treessemantic rulessentiment dictionaryrussian language processingTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 155-164 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sentiment analysis syntax trees semantic rules sentiment dictionary russian language processing Telecommunication TK5101-6720
spellingShingle	sentiment analysis syntax trees semantic rules sentiment dictionary russian language processing Telecommunication TK5101-6720 Ilya Paramonov Anatoliy Poletaev Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
description	The paper describes application of the semantic rule-based sentiment analysis approach, which was earlier developed and tested on English texts, to the Russian language. In order to take into account specificity of Russian it was adapted, particularly representation of the rules as patterns over a list of words was replaced with algorithms over the syntax tree of a sentence. The experiments on a quarter of a corpus of sentences extracted from hotel reviews allowed to perform the error analysis and refinement of the approach. The final results on the whole corpus allowed to achieve the results close to the state-of-the-art methods based on neural networks. The advantages of the approach, including simple interpretability of its results and absence of the need of learning, make it perspective for further research in sentiment analysis.
format	article
author	Ilya Paramonov Anatoliy Poletaev
author_facet	Ilya Paramonov Anatoliy Poletaev
author_sort	Ilya Paramonov
title	Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
title_short	Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
title_full	Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
title_fullStr	Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
title_full_unstemmed	Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language
title_sort	adaptation of semantic rule-based sentiment analysis approach for russian language
publisher	FRUCT
publishDate	2021
url	https://doaj.org/article/219c46efa9cd4977be0505f32cd67abb
work_keys_str_mv	AT ilyaparamonov adaptationofsemanticrulebasedsentimentanalysisapproachforrussianlanguage AT anatoliypoletaev adaptationofsemanticrulebasedsentimentanalysisapproachforrussianlanguage
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Adaptation of Semantic Rule-Based Sentiment Analysis Approach for Russian Language

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