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...
Saved in:
Main Author: | Mohd Suhairi Md Suhaimin |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Online Access: | https://eprints.ums.edu.my/id/eprint/27023/1/Sarcasm%20detection%20and%20classification%20to%20support%20sentiment%20analysis.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sarcasm detection and classification to support sentiment analysis : A study in malay social media
by: Mohd Suhairi Md Suhaimin
Published: (2017) -
Sarcasm detection model based on tweets’ strength using hashtags and non-hashtags sentiment analysis
by: Nadali, Samaneh
Published: (2016) -
Sentiment analysis on muslim social media from the perspective of Al-Farabi 's madani society /
by: Camdzic, Anida -
Modeling tourism movements and sentiments using spatial analysis based on social media big data
by: Zhu, Chen
Published: (2023) -
Multi-feature fusion framework for automatic sarcasm identification in twitter data /
by: Ifeanyi, Eke Christopher
Published: (2021)