Sarcasm Detection And Classification To Support Sentiment Analysis: A Study In Malay Social Media
This research work conducted on sarcasm detection and classification to support sentiment analysis. The proposed work consists of two phases: (i) sarcasm detection and (ii) sentiment analysis with sarcasm detection and classification. In the first phase, the development of a mechanism for detecting...
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| Format: | Research Report |
| Language: | English English |
| Published: |
2016
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| Online Access: | https://eprints.ums.edu.my/id/eprint/30793/1/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis%2024pages.pdf https://eprints.ums.edu.my/id/eprint/30793/2/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis.pdf |
| _version_ | 1796910943100207104 |
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| author | Mohd Hanafi Ahmad Hijazi |
| author_facet | Mohd Hanafi Ahmad Hijazi |
| author_sort | Mohd Hanafi Ahmad Hijazi |
| collection | UMS |
| description | This research work conducted on sarcasm detection and classification to support sentiment analysis. The proposed work consists of two phases: (i) sarcasm detection and (ii) sentiment analysis with sarcasm detection and classification. In the first phase, the development of a mechanism for detecting sarcasm on bilingual data was explored. To achieve this, a feature extraction process was proposed to identify sarcasm features. Five feature categories that can be extracted using natural language processing were considered. The best-performing features were then used as input for the second phase. In the second phase, a framework for sentiment analysis that considers sarcasm detection and classification was proposed. Results obtained demonstrate that the proposed features and framework are able to improve the performance of sentiment analysis. |
| first_indexed | 2024-03-06T03:11:26Z |
| format | Research Report |
| id | ums.eprints-30793 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:11:26Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ums.eprints-307932021-10-14T02:09:31Z https://eprints.ums.edu.my/id/eprint/30793/ Sarcasm Detection And Classification To Support Sentiment Analysis: A Study In Malay Social Media Mohd Hanafi Ahmad Hijazi HA29-32 Theory and method of social science statistics QA299.6-433 Analysis This research work conducted on sarcasm detection and classification to support sentiment analysis. The proposed work consists of two phases: (i) sarcasm detection and (ii) sentiment analysis with sarcasm detection and classification. In the first phase, the development of a mechanism for detecting sarcasm on bilingual data was explored. To achieve this, a feature extraction process was proposed to identify sarcasm features. Five feature categories that can be extracted using natural language processing were considered. The best-performing features were then used as input for the second phase. In the second phase, a framework for sentiment analysis that considers sarcasm detection and classification was proposed. Results obtained demonstrate that the proposed features and framework are able to improve the performance of sentiment analysis. 2016-09 Research Report NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/30793/1/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis%2024pages.pdf text en https://eprints.ums.edu.my/id/eprint/30793/2/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis.pdf Mohd Hanafi Ahmad Hijazi (2016) Sarcasm Detection And Classification To Support Sentiment Analysis: A Study In Malay Social Media. (Submitted) |
| spellingShingle | HA29-32 Theory and method of social science statistics QA299.6-433 Analysis Mohd Hanafi Ahmad Hijazi Sarcasm Detection And Classification To Support Sentiment Analysis: A Study In Malay Social Media |
| title | Sarcasm Detection And Classification To Support
Sentiment Analysis: A Study In Malay Social Media |
| title_full | Sarcasm Detection And Classification To Support
Sentiment Analysis: A Study In Malay Social Media |
| title_fullStr | Sarcasm Detection And Classification To Support
Sentiment Analysis: A Study In Malay Social Media |
| title_full_unstemmed | Sarcasm Detection And Classification To Support
Sentiment Analysis: A Study In Malay Social Media |
| title_short | Sarcasm Detection And Classification To Support
Sentiment Analysis: A Study In Malay Social Media |
| title_sort | sarcasm detection and classification to support sentiment analysis a study in malay social media |
| topic | HA29-32 Theory and method of social science statistics QA299.6-433 Analysis |
| url | https://eprints.ums.edu.my/id/eprint/30793/1/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis%2024pages.pdf https://eprints.ums.edu.my/id/eprint/30793/2/Sarcasm%20Detection%20And%20Classification%20To%20Support%20Sentiment%20Analysis.pdf |
| work_keys_str_mv | AT mohdhanafiahmadhijazi sarcasmdetectionandclassificationtosupportsentimentanalysisastudyinmalaysocialmedia |