The Sarcasm Detection with the Method of Logistic Regression
| Author(s) | : | Ela Kumar, Shikha Gupta |
| Institution | : | Computer Science Department, Indira Gandhi Delhi Technical University for Women |
| Published In | : | Vol. 7, Issue 1 — January 2020 |
| Page No. | : | 1-6 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The prediction analysis is approach which may predict future possibilities. This research work is based on thesarcasm detection from the text data. In the previous time SVM classification is applied for the sarcasm detection. The SVMclassifier classifies data based on the hyper plane which give low accuracy. To improve accuracy for sarcasm detectionlogistic regression is applied during this work. The existing and proposed techniques are implemented in python and resultsare analysed in terms of accuracy, execution time. The proposed approach has high accuracy and low execution time ascompared to SVM classifier for sarcasm detection.
Ela Kumar, Shikha Gupta, “The Sarcasm Detection with the Method of Logistic Regression”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 1, pp. 1-6, January 2020.
