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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Main Authors: Zohreh Madhoushi, Abdul Razak Hamdan, Suhaila Zainudin
Format: Article
Language:English
Published: UKM Press 2019-06-01
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.
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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