Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review
The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews. Here sentiment analysis plays an important role in classifying the polarity of pro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2021.2014186 |
| _version_ | 1827774568816705536 |
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| author | Komang Wahyu Trisna Huang Jin Jie |
| author_facet | Komang Wahyu Trisna Huang Jin Jie |
| author_sort | Komang Wahyu Trisna |
| collection | DOAJ |
| description | The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews. Here sentiment analysis plays an important role in classifying the polarity of product reviews. However, with a large number of reviews, a sentiment analysis that only gives overall polarity is not sufficient. This will make it difficult to find the reviews of certain aspects (features) of the product. Aspect-based sentiment analysis as fine-grained sentiment analysis is able to provide specific polarity for each aspect contained in a sentence. Various kinds of development methods have been carried out to provide accurate results in aspect-based sentiment analysis. This paper will discuss the various deep learning methods that have been carried out and provide the possibility of research that can be carried out from Aspect-Based Sentiment Analysis. |
| first_indexed | 2024-03-11T13:40:13Z |
| format | Article |
| id | doaj.art-486222a172b94d9f980519ce377aeff0 |
| institution | Directory Open Access Journal |
| issn | 0883-9514 1087-6545 |
| language | English |
| last_indexed | 2024-03-11T13:40:13Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Artificial Intelligence |
| spelling | doaj.art-486222a172b94d9f980519ce377aeff02023-11-02T13:36:37ZengTaylor & Francis GroupApplied Artificial Intelligence0883-95141087-65452022-12-0136110.1080/08839514.2021.20141862014186Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative ReviewKomang Wahyu Trisna0Huang Jin Jie1Harbin University of Science and TechnologyHarbin University of Science and TechnologyThe emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews. Here sentiment analysis plays an important role in classifying the polarity of product reviews. However, with a large number of reviews, a sentiment analysis that only gives overall polarity is not sufficient. This will make it difficult to find the reviews of certain aspects (features) of the product. Aspect-based sentiment analysis as fine-grained sentiment analysis is able to provide specific polarity for each aspect contained in a sentence. Various kinds of development methods have been carried out to provide accurate results in aspect-based sentiment analysis. This paper will discuss the various deep learning methods that have been carried out and provide the possibility of research that can be carried out from Aspect-Based Sentiment Analysis.http://dx.doi.org/10.1080/08839514.2021.2014186 |
| spellingShingle | Komang Wahyu Trisna Huang Jin Jie Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review Applied Artificial Intelligence |
| title | Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review |
| title_full | Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review |
| title_fullStr | Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review |
| title_full_unstemmed | Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review |
| title_short | Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review |
| title_sort | deep learning approach for aspect based sentiment classification a comparative review |
| url | http://dx.doi.org/10.1080/08839514.2021.2014186 |
| work_keys_str_mv | AT komangwahyutrisna deeplearningapproachforaspectbasedsentimentclassificationacomparativereview AT huangjinjie deeplearningapproachforaspectbasedsentimentclassificationacomparativereview |