Sarcasm detection in Text Data to bring out genuine sentiments for Sentimental Analysis

Abstract

The growth of people using social media and E commerce in the modern world has influenced the people in the way they think, they communicate and act. Sentiments are expressed in the posts written by the users, views expressed by the customers and etc. Detection of sentiments in the posts on social media platforms and e commerce portals are helping to find new avenues for business Ventures. Most of the time users and customers write a comment or express a view which in depth will be opposite of what they mean to say by bringing in Irony or sarcasm in the statements. Detection of Sarcasm or Irony in sentences has become a challenging task. In this paper an attempt is made to bring out the negativity in positive sentences and positivity in negative sentences by calculating polarity scores using Sentiwordnet. Identification of sarcasm in sentences will help in bringing out genuine sentiments.