Sarcasm Detection Analysis – Comparative Analysis

Sarcasm is a unique class of figurative language, that is in particular utilized in on-line social media. Such messages are used for sarcastic feedback the usage of contemptuous, taunt, and mock-associated phrases or phrases. Normally, the term 'rule-primarily based totally method is implemented to structures concerning human-crafted or curated rule sets. There are many algorithms for figuring out whether or not a sentence is sarcastic or now no longer. This paper complies with the Rule-primarily based totally method this is evolved to address the trouble of sarcasm detection and additionally describes numerous datasets. However we can in particular cognizance on Random Forest, Decision Tree, Support Vector Machine. In our project we are going to compare the accuracies from the model used and find the most accurate model giving high accuracy.