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SARCASM DETECTION IN SENTIMENT ANALYSIS
Dr. Kalpesh H. Wandra, Mehul Barot

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.24-32, Sep 2017
DPI :-> 16.10046.IJCESR.2017.V4I9.2432.1957



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

Key-Words / Index Term
Sarcasm, humour, machine learning, twitter, tweets, Politics, Political Sarcasm

How to cite this article
Dr. Kalpesh H. Wandra, Mehul Barot , “SARCASM DETECTION IN SENTIMENT ANALYSIS”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.24-32, Sep 2017. DPI:16.10046.IJCESR.V4.I9.1957