Sarcasm Detection And Classification To Support Sentiment Analysis: A Study In Malay Social Media

• Main Author: Mohd Hanafi Ahmad Hijazi
• Format: Research Report
• Language: English; English
• Published: 2016
• Subjects: HA29-32 Theory and method of social science statistics; QA299.6-433 Analysis
• 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; https://eprints.ums.edu.my/id/eprint/30793/

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...