期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2020
卷号：11
期号：6
页码：751-771
DOI：10.21817/indjcse/2020/v11i6/201106048
出版社：Engg Journals Publications
摘要：Natural Language Processing (NLP) is always one of the interesting topics among researchers. To understand the perfect meaning of what depicted in the conversation is always a helping factor to solve different tasks and enhance the accuracy of different applications. Sentiment analysis uses the NLP techniques and learning models like machine learning and deep learning algorithms to understand sentiments expressed in the given data. Sentiment analysis is an approach to find the contextual meaning expressed in the textual data. Sarcasm detection comes as part of sentiment analysis because sarcasm is a kind of sentiment where individuals convey their feelings about a particular topic indirectly. People means the entire opposite of the surface content of the sentence. This unique characteristic of the sarcastic sentence makes it difficult to plot sarcasm. This paper will discuss the works done in the area of sarcasm detection, different techniques and challenges in sarcasm detection.
