Beyond Face Value: Identifying Irony and Sarcasm in Short Texts Through Multiclass Classification Techniques

Avaneesh Jai Damaraju, Divya Rao*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research study presents a comparative analysis of multiclass classifiers for detecting irony and sarcasm in short texts. With the increasing use of social media, it has become important to develop accurate and efficient algorithms for detecting irony and sarcasm, which are often expressed implicitly in text. This study has evaluated five multiclass classifiers, including Naive Bayes, linear classifier, XG Boost, KNN, and SGD, using different text representations, such as count vectors, word-level TF-IDF, and hash vectors. The results showed that the linear classifier using word-level TF-IDF achieved the highest accuracy of 74.39%, while the KNN classifier using hash vectors achieved the highest accuracy of 75.16%. However, all classifiers exhibited sensitivity to certain keywords and phrases, indicating the need for further research to improve the robustness of the classifiers. This study provides insights into the strengths and weaknesses of different multiclass classification approaches for detecting irony and sarcasm in short texts, which can guide future research in this field.

Original languageEnglish
Title of host publicationProceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages74-79
Number of pages6
ISBN (Electronic)9798350322842
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023 - Salem, India
Duration: 19-06-202320-06-2023

Publication series

NameProceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023

Conference

Conference3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023
Country/TerritoryIndia
CitySalem
Period19-06-2320-06-23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Communication

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