Site icon project topics writing

A Survey on Machine Learning and Deep Learning Based Approaches for Sarcasm Identification in Social Media

Do You Have New or Fresh Topic? Send Us Your Topic


Post Views:
0

Abstract

Today, sentiment analysis is a basic way through which one can get an idea regarding opinion, attitude and emotion towards person or aspects or products or services, etc. In the last several years, researchers are working on a technique to analyse social media data and social chain to identify the undisclosed information from it and to make meaningful patterns and decisions through it. In sentiment analysis, sarcasm is one kind of emotion which contains the contents that are opposite of what you really want to say. People use it to show disrespect or to taunt someone. Sarcasm is useful to show silliness and to be entertaining. Sarcasm can be expressed verbally or through certain gestural clues like rolling of the eyes or raising the eyebrows, etc. A number of ways are implemented to detect sarcasm. In this paper, we try to explain current and trending ways which are used to detect sarcasm.

Related

Previous articleOutput-Only Modal Analysis of a Footbridge Based on Compact-Bandwidth RegularizationNext articleAn IoT-Based Adaptive Traffic Light Control Algorithm for Isolated Intersection

Not What You Were Looking For? Send Us Your Topic

INSTRUCTIONS AFTER PAYMENT

After making payment, kindly send the following:

» Send the above details to our email; contact@premiumresearchers.com or to our support phone number; (+234) 0813 2546 417 . As soon as details are sent and payment is confirmed, your project will be delivered to you within minutes.