ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS
Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each aspect from the text. A review of the recent stat...
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Format: | Article |
Language: | English |
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UKM Press
2019-06-01
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Series: | Asia-Pacific Journal of Information Technology and Multimedia |
Subjects: | |
Online Access: | https://www.ukm.my/apjitm/view.php?id=10 |
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author | Zohreh Madhoushi Abdul Razak Hamdan Suhaila Zainudin |
author_facet | Zohreh Madhoushi Abdul Razak Hamdan Suhaila Zainudin |
author_sort | Zohreh Madhoushi |
collection | DOAJ |
description | Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each aspect from the text. A review of the recent state-of-the-art in ABSA, shows the remarkable growing in finding both aspect, and the corresponding sentiment. Current methods are categorized based on their proposed algorithms and models. For each discussed study, aspect extraction method and sentiment prediction method, the dataset, domain and the reported performance is included. The main goal of this work is to review ABSA techniques with brief details. The main contributions of this paper consist of the refined categorizations of a great number of recent articles, comparing them and the illustration of the recent trend of research in the ABSA. |
first_indexed | 2024-12-21T20:54:26Z |
format | Article |
id | doaj.art-a71b867ad195474e98c20d2a9bb5591a |
institution | Directory Open Access Journal |
issn | 2289-2192 |
language | English |
last_indexed | 2024-12-21T20:54:26Z |
publishDate | 2019-06-01 |
publisher | UKM Press |
record_format | Article |
series | Asia-Pacific Journal of Information Technology and Multimedia |
spelling | doaj.art-a71b867ad195474e98c20d2a9bb5591a2022-12-21T18:50:38ZengUKM PressAsia-Pacific Journal of Information Technology and Multimedia2289-21922019-06-018017996https://doi.org/10.17576/apjitm-2019-0801-07ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARSZohreh MadhoushiAbdul Razak HamdanSuhaila ZainudinSentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each aspect from the text. A review of the recent state-of-the-art in ABSA, shows the remarkable growing in finding both aspect, and the corresponding sentiment. Current methods are categorized based on their proposed algorithms and models. For each discussed study, aspect extraction method and sentiment prediction method, the dataset, domain and the reported performance is included. The main goal of this work is to review ABSA techniques with brief details. The main contributions of this paper consist of the refined categorizations of a great number of recent articles, comparing them and the illustration of the recent trend of research in the ABSA.https://www.ukm.my/apjitm/view.php?id=10aspect-based sentiment analysisaspect extractionsentiment prediction |
spellingShingle | Zohreh Madhoushi Abdul Razak Hamdan Suhaila Zainudin ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS Asia-Pacific Journal of Information Technology and Multimedia aspect-based sentiment analysis aspect extraction sentiment prediction |
title | ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS |
title_full | ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS |
title_fullStr | ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS |
title_full_unstemmed | ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS |
title_short | ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS |
title_sort | aspect based sentiment analysis methods in recent years |
topic | aspect-based sentiment analysis aspect extraction sentiment prediction |
url | https://www.ukm.my/apjitm/view.php?id=10 |
work_keys_str_mv | AT zohrehmadhoushi aspectbasedsentimentanalysismethodsinrecentyears AT abdulrazakhamdan aspectbasedsentimentanalysismethodsinrecentyears AT suhailazainudin aspectbasedsentimentanalysismethodsinrecentyears |