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Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis

The most important task in aspect-based sentiment analysis (ABSA) is the aspect and sentiment word extraction. It is a challenge to identify and extract each aspect and it specific associated sentiment word correctly in the review sentence that consists of multiple aspects with various polarities ex...

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Main Authors: Shafie, Ana Salwa, Mohd Sharef, Nurfadhlina, Azmi Murad, Masrah Azrifah, Azman, Azreen
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/68799/1/Aspect%20extraction%20performance%20with%20POS%20tag%20pattern%20of%20dependency%20relation%20in%20aspect-based%20sentiment%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/68799/
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spelling my.upm.eprints.687992020-05-25T01:52:32Z http://psasir.upm.edu.my/id/eprint/68799/ Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis Shafie, Ana Salwa Mohd Sharef, Nurfadhlina Azmi Murad, Masrah Azrifah Azman, Azreen The most important task in aspect-based sentiment analysis (ABSA) is the aspect and sentiment word extraction. It is a challenge to identify and extract each aspect and it specific associated sentiment word correctly in the review sentence that consists of multiple aspects with various polarities expressed for multiple sentiments. By exploiting the dependency relation between words in a review, the multiple aspects and its corresponding sentiment can be identified. However, not all types of dependency relation patterns are able to extract candidate aspect and sentiment word pairs. In this paper, a preliminary study was performed on the performance of different type of dependency relation with different POS tag patterns in pre-extracting candidate aspect from customer review. The result contributes to the identification of the specific type dependency relation with it POS tag pattern that lead to high aspect extraction performance. The combination of these dependency relations offers a solution for single aspect single sentiment and multi aspect multi sentiment cases. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68799/1/Aspect%20extraction%20performance%20with%20POS%20tag%20pattern%20of%20dependency%20relation%20in%20aspect-based%20sentiment%20analysis.pdf Shafie, Ana Salwa and Mohd Sharef, Nurfadhlina and Azmi Murad, Masrah Azrifah and Azman, Azreen (2018) Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu, Sabah, Malaysia. (pp. 107-112). 10.1109/INFRKM.2018.8464692
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The most important task in aspect-based sentiment analysis (ABSA) is the aspect and sentiment word extraction. It is a challenge to identify and extract each aspect and it specific associated sentiment word correctly in the review sentence that consists of multiple aspects with various polarities expressed for multiple sentiments. By exploiting the dependency relation between words in a review, the multiple aspects and its corresponding sentiment can be identified. However, not all types of dependency relation patterns are able to extract candidate aspect and sentiment word pairs. In this paper, a preliminary study was performed on the performance of different type of dependency relation with different POS tag patterns in pre-extracting candidate aspect from customer review. The result contributes to the identification of the specific type dependency relation with it POS tag pattern that lead to high aspect extraction performance. The combination of these dependency relations offers a solution for single aspect single sentiment and multi aspect multi sentiment cases.
format Conference or Workshop Item
author Shafie, Ana Salwa
Mohd Sharef, Nurfadhlina
Azmi Murad, Masrah Azrifah
Azman, Azreen
spellingShingle Shafie, Ana Salwa
Mohd Sharef, Nurfadhlina
Azmi Murad, Masrah Azrifah
Azman, Azreen
Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
author_facet Shafie, Ana Salwa
Mohd Sharef, Nurfadhlina
Azmi Murad, Masrah Azrifah
Azman, Azreen
author_sort Shafie, Ana Salwa
title Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
title_short Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
title_full Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
title_fullStr Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
title_full_unstemmed Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
title_sort aspect extraction performance with pos tag pattern of dependency relation in aspect-based sentiment analysis
publisher IEEE
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/68799/1/Aspect%20extraction%20performance%20with%20POS%20tag%20pattern%20of%20dependency%20relation%20in%20aspect-based%20sentiment%20analysis.pdf
http://psasir.upm.edu.my/id/eprint/68799/
_version_ 1669008805808046080
score 13.211869

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