Sarcasm Detection in Sentiment Analysis

Shruti Kaushik; Prof. Mehul Barot

Sarcasm Detection in Sentiment Analysis

December 2016

Vol-2, Issue-6

Paper ID: 3555

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Sarcasm humor machine learning twitter tweets

Abstract

Sentiment Analysis is a technique to identify people’s opinion, attitude, sentiment, and emotion towards any speciﬁc target such as individuals, events, topics, product, organizations, services etc. Sarcasm is a special kind of sentiment that comprise of words which mean the opposite of what you really want to say (especially in order to insult or wit someone, to show irritation, or to be funny). People often express it verbally through the use of heavy tonal stress and certain gestural clues like rolling of the eyes. These tonal and gestural clues are obviously not available for expressing sarcasm in text, making its detection reliant upon other factors.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Shruti Kaushik	LDRP-ITR
2	Prof. Mehul Barot	LDRP-ITR

How to Cite

Use the following formats to cite this article in your research.

APA Style

Kaushik, Shruti & Barot, Prof. Mehul (2016). Sarcasm Detection in Sentiment Analysis. International Journal of Advance Research and Innovative Ideas In Education, 2(6), 1749-1758.

MLA Style

Kaushik, Shruti, and Prof. Mehul Barot. "Sarcasm Detection in Sentiment Analysis." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, 2016, pp. 1749-1758.

IEEE Style

Shruti Kaushik and Prof. Mehul Barot, "Sarcasm Detection in Sentiment Analysis," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 6, pp. 1749-1758, 2016.

Vancouver Style

Kaushik Shruti, Barot Prof. Mehul. Sarcasm Detection in Sentiment Analysis. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(6):1749-1758.

Harvard Style

Kaushik, Shruti & Barot, Prof. Mehul (2016) 'Sarcasm Detection in Sentiment Analysis', International Journal of Advance Research and Innovative Ideas In Education, 2(6), pp. 1749-1758.

Chicago Style

Kaushik, Shruti and Prof. Mehul Barot. "Sarcasm Detection in Sentiment Analysis." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 1749-1758.

Turabian Style

Kaushik, Shruti and Prof. Mehul Barot. "Sarcasm Detection in Sentiment Analysis." International Journal of Advance Research and Innovative Ideas In Education 2, no. 6 (2016): 1749-1758.