Sarcasm Analysis On Twitter Data
| Author(s) | : | Tejal Patil, Prof. Dhanashree S. Kulkarni |
| Institution | : | (Department Of Computer Engineering, Dr. D Y Patil College Of Engineering, Ambi, Pune) |
| Published In | : | Vol. 7, Issue 8 — August 2020 |
| Page No. | : | 59-61 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
One of the hot topics of recent years is analyzing or extracting microblog data. Analysis of feelings is one ofthe micro-blog data analysis techniques. Analysis of feelings refers to Identification of online courage and opinion withregard to an explicit theme or product. Sarcasm is one of the most frequently used ironies in micro-blogs or socialnetwork sites. Sarcasm is another way of transmitting information from person to person. It could be used in differentways, such as mockery of somebody. One of the key principles for enhancing data analysis and developing automaticfeeling analytics is sarcasm detection. In this paper we propose an approach based on a pattern for tweet iron detection.We proposed to use a pattern-based approach to make a feeling study. We also research the significance and the pricefor the grouping of each proposed feature set.
Tejal Patil, Prof. Dhanashree S. Kulkarni, “Sarcasm Analysis On Twitter Data”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 8, pp. 59-61, August 2020.
