Modern Approaches to Aspect-Based Sentiment Analysis

Autor:	I. . Andrianov, V. . Mayorov, D. . Turdakov
Jazyk:	English<br />Russian
Rok vydání:	2018
Předmět:	анализ эмоциональной окраски извлечение аспектных терминов обработка текстов на естественном языке машинное обучение Electronic computers. Computer science QA75.5-76.95
Zdroj:	Труды Института системного программирования РАН, Vol 27, Iss 5, Pp 5-22 (2018)
Druh dokumentu:	article
ISSN:	2079-8156 2220-6426
DOI:	10.15514/ISPRAS-2015-27(5)-1
Popis:	The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences. Organizers of these conferences proposed evaluation platforms for methods for aspect-based sentiment analysis. This paper describes methods proposed by participants of two international evaluation platforms: SemEval-2015 focusing on English texts and SentiRuEval-2015 focusing on Russian texts.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/6969621f91524b37b8c1ab85dac12064 Zobrazit plný text záznamu View record in DOAJ