Abstract

In the current era of information, many social networking sites have established and evolved into an essential aspect of today’s society. As the second most popular social media platform, a huge amount of online content is generated and shared by YouTube and provides novel perspectives for corporations, policymakers and researchers. However, getting valuable information effectively from the massive volume of data has become increasingly difficult. Sentiment analysis offers an automated way to examine opinions, views, and sentiments in written language. Many researchers have sought to improve the effectiveness of several sentiment analyzers or use information from social media to apply them to multiple domains. This research investigates the difficulties experienced by scholars and emerging challenges in examining sentiment analysis in YouTube comments. It provides knowledge regarding the sentiment evaluation task’s objectives, the implementation procedure, and how it is applied in various application areas. Additionally, it compares multiple studies and identifies several issues with the analysis techniques, the datasets, the languages of text, and the criteria for evaluation. This study aims to contribute to sentiment analysis research and can assist researchers in adopting an appropriate approach for their potential uses.

Authors

Raj Kumar Singh¹, Ani Thomas²
Chhattisgarh Swami Vivekanand Technical University, India¹, Bhilai Institute of Technology, India²

Keywords

YouTube, Comment, Sentiment Analysis