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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2019
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| Online Access: | http://journalarticle.ukm.my/14153/ http://journalarticle.ukm.my/14153/1/28204-107928-1-PB.pdf |
| _version_ | 1848813475896229888 |
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| author | Madhoushi, Zohreh Abdul Razak Hamdan, Suhaila Zainudin, |
| author_facet | Madhoushi, Zohreh Abdul Razak Hamdan, Suhaila Zainudin, |
| author_sort | Madhoushi, Zohreh |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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 | 2025-11-15T00:18:47Z |
| format | Article |
| id | oai:generic.eprints.org:14153 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:18:47Z |
| publishDate | 2019 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:141532020-02-07T11:08:23Z http://journalarticle.ukm.my/14153/ Aspect-based sentiment analysis methods in recent years Madhoushi, Zohreh Abdul Razak Hamdan, Suhaila Zainudin, 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. Penerbit Universiti Kebangsaan Malaysia 2019-06 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14153/1/28204-107928-1-PB.pdf Madhoushi, Zohreh and Abdul Razak Hamdan, and Suhaila Zainudin, (2019) Aspect-based sentiment analysis methods in recent years. Asia-Pacific Journal of Information Technology and Multimedia, 8 (1). pp. 79-96. ISSN 2289-2192 http://ejournals.ukm.my/apjitm/issue/view/1179 |
| spellingShingle | Madhoushi, Zohreh Abdul Razak Hamdan, Suhaila Zainudin, Aspect-based sentiment analysis methods in recent years |
| 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 |
| url | http://journalarticle.ukm.my/14153/ http://journalarticle.ukm.my/14153/ http://journalarticle.ukm.my/14153/1/28204-107928-1-PB.pdf |