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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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/672 |
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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 |
_version_ |
1724884502973513728 |