Modern Approaches to Aspect-Based Sentiment Analysis

Modern Approaches to Aspect-Based Sentiment Analysis

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....

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Bibliographic Details
Main Authors: I. . Andrianov, V. . Mayorov, D. . Turdakov
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
Series:Труды Института системного программирования РАН
Subjects:
анализ эмоциональной окраски
извлечение аспектных терминов
обработка текстов на естественном языке
машинное обучение
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/672
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spelling doaj-6969621f91524b37b8c1ab85dac120642020-11-25T02:17:53Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-0127552210.15514/ISPRAS-2015-27(5)-1672Modern Approaches to Aspect-Based Sentiment AnalysisI. . Andrianov0V. . Mayorov1D. . Turdakov2ИСП РАНИСП РАНИСП РАН; ВМК МГУ; ФКН НИУ ВШЭThe 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.https://ispranproceedings.elpub.ru/jour/article/view/672анализ эмоциональной окраскиизвлечение аспектных терминовобработка текстов на естественном языкемашинное обучение
collection DOAJ
language English
format Article
sources DOAJ
author I. . Andrianov
V. . Mayorov
D. . Turdakov
spellingShingle I. . Andrianov
V. . Mayorov
D. . Turdakov
Modern Approaches to Aspect-Based Sentiment Analysis
Труды Института системного программирования РАН
анализ эмоциональной окраски
извлечение аспектных терминов
обработка текстов на естественном языке
машинное обучение
author_facet I. . Andrianov
V. . Mayorov
D. . Turdakov
author_sort I. . Andrianov
title Modern Approaches to Aspect-Based Sentiment Analysis
title_short Modern Approaches to Aspect-Based Sentiment Analysis
title_full Modern Approaches to Aspect-Based Sentiment Analysis
title_fullStr Modern Approaches to Aspect-Based Sentiment Analysis
title_full_unstemmed Modern Approaches to Aspect-Based Sentiment Analysis
title_sort modern approaches to aspect-based sentiment analysis
publisher Ivannikov Institute for System Programming of the Russian Academy of Sciences
series Труды Института системного программирования РАН
issn 2079-8156
2220-6426
publishDate 2018-10-01
description 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.
topic анализ эмоциональной окраски
извлечение аспектных терминов
обработка текстов на естественном языке
машинное обучение
url https://ispranproceedings.elpub.ru/jour/article/view/672
work_keys_str_mv AT iandrianov modernapproachestoaspectbasedsentimentanalysis
AT vmayorov modernapproachestoaspectbasedsentimentanalysis
AT dturdakov modernapproachestoaspectbasedsentimentanalysis
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