The Sarcasm Detection with the Method of Logistic Regression

Authors

  • Ela Kumar Computer Science Department, Indira Gandhi Delhi Technical University for Women
  • Shikha Gupta Computer Science Department, Indira Gandhi Delhi Technical University for Women

Keywords:

Sentiment Analysis, SVM, Logistic Regression, Sarcasm detection, python

Abstract

The prediction analysis is approach which may predict future possibilities. This research work is based on the
sarcasm detection from the text data. In the previous time SVM classification is applied for the sarcasm detection. The SVM
classifier classifies data based on the hyper plane which give low accuracy. To improve accuracy for sarcasm detection
logistic regression is applied during this work. The existing and proposed techniques are implemented in python and results
are analysed in terms of accuracy, execution time. The proposed approach has high accuracy and low execution time as
compared to SVM classifier for sarcasm detection.

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Published

2020-01-25

How to Cite

Ela Kumar, & Shikha Gupta. (2020). The Sarcasm Detection with the Method of Logistic Regression. International Journal of Advance Engineering and Research Development (IJAERD), 7(1), 1–6. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/4536

Issue

Vol. 7 No. 1 (2020): Volume: 07, Issue: 01 - January, 2020

Section

Articles