Improvement sarcasm analysis using NLP and corpus based approach
Manoj Y. Manohar, Pallavi V. Kulkarni · 2017
Sarcasm is most important part of social network and microblogging website. Millions of people use it while using the social sites or twitter websites. Most of the sarcasm occurrence on the twitter. Most of the people express their thinking through twitter regarding any specific subject. It is the best way to convey the message to the any end user. Hence, finding the sarcastic statements is very useful in day-to-day life to improve the sentiment analysis from the sarcastic data from the twitter or any social websites. Sentiment Analysis indicates the expression of the user towards a specific topic. In this paper, we propose a NLP and CORPUS based approach to detect sarcasm on Twitter. In this we are comparing the data with the ontology based emotion detection and classify the tweets as a Sarcastic or non-Sarcastic. In particular, we emphasize the importance NLP and CORPUS based for the detection of sarcastic statements.