Sarcasm Detection on Twitter: a Comparative Survey
Author:
Affiliation:
1. College of Computer, Qassim University,Department of Computer Science,Buraydah,Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10487132/10487174/10487331.pdf?arnumber=10487331
Reference52 articles.
1. Indonesian social media sentiment analysis with sarcasm detection
2. Empirical study of shallow and deep learning models for sarcasm detection using context in benchmark datasets;Akshi;Journal of ambient intelligence and humanized computing,2019
3. Comparative Study of Different Sarcasm Detection Algorithms Based On Behavioral Approach
4. Modelling Context with User Embeddings for Sarcasm Detection in Social Media
5. Sarcasm as contrast between a positive sentiment and negative situation;Riloff
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