Methodologies used to Detect Sarcasm in Senti...

Methodologies used to Detect Sarcasm in Sentiment Classification

Author Name : Vemala Bhargavi, Dr. M. Humera Khanam

DOI: https://doi.org/11.56025/IJARESM.2023.112231411

ABSTRACT

Research into Natural Language Processing (NLP) is one of the exciting and popular fields today. Sentiment classification of texts is crucial in the discipline of NLP. Sarcasm is a kind of sentiment where individual people convey their feelings or opinion about a particular topic indirectly i.e., they write something which is completely different from what they meant. Sarcasm detection comes under Sentiment analysis. An expression of criticism is called a sarcasm statement. People express their opinions on social media like YouTube, blogs, Facebook, and Twitter in a sarcastic manner. People express sarcastic statements through comments on Daily News, TV shows, political parties, etc. Perfect understanding and analysis of the sarcastic sentences are the most important factor to enhance the performance of sentiment analysis. This paper will discuss the amount of research work done on sarcasm recognition, types of sarcasm, methodologies for sarcasm detection, challenges, and the field's potential in the future.

Keywords—Sentiment analysis, Twitter, Deep Learning, Sarcasm Detection