A machine learning approach in analysing the effect of hyperboles using negative sentiment tweets for sarcasm detection

A machine learning approach in analysing the effect of hyperboles using negative sentiment tweets for sarcasm detection

This paper investigates negative sentiment tweets with the presence of hyperboles for sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets comprising #Chinesevirus, #Kungflu, #COVID19, #Hantavirus and #Coronavirus were gathered for sarcasm detection. Five hyperbole...

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Bibliographic Details
Main Authors: Vithyatheri Govindan, Vimala Balakrishnan
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Hyperbole
Sarcasm
Sentiment analysis
Machine learning
Correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822000210

Internet

http://www.sciencedirect.com/science/article/pii/S1319157822000210

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