Sarcasm detection and classification to support sentiment analysis: a study in Malay social media

The classification of users’ sentiment from social media data can be used to determine public opinion on certain issues. The presence of sarcasm in text may hamper the performance of sentiment analysis. This thesis presents research work conducted on sarcasm detection and classification to support...

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Bibliographic Details
Main Author: Mohd Suhairi Md Suhaimin
Format: Thesis
Language:English
Published: Utusan Borneo 2017
Online Access:https://eprints.ums.edu.my/id/eprint/27023/1/Sarcasm%20detection%20and%20classification%20to%20support%20sentiment%20analysis.pdf
https://eprints.ums.edu.my/id/eprint/27023/
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