Sarcasm Detection Algorithms Based on Sentiment Strength
Pragya Katyayan, Nisheeth Joshi · 2020
Sentiments are the standard way by which people express their feelings. Sentiments are broadly classified as positive and negative. The problem occurs when the user expresses with words different than their actual feelings. This phenomenon is generally known to us as sarcasm, where people say something opposite to the actual sentiments. Sarcasm detection is of great importance for the correct analysis of sentiments. This chapter attempts to give an algorithm for successful detection of hyperbolic sarcasm and general sarcasm in a data set of sarcastic posts that are collected from pages dedicated for sarcasm on social media sites such as Facebook, Pinterest, and Instagram. This chapter also shows the initial results of the algorithm and its evaluation.