Research Article
YouTube Comment Analysis Using Lexicon Based Techniques
@INPROCEEDINGS{10.1007/978-3-031-28975-0_7, author={Mohan Sai Dinesh Boddapati and Madhavi Sai Chatradi and Sridevi Bonthu and Abhinav Dayal}, title={YouTube Comment Analysis Using Lexicon Based Techniques}, proceedings={Cognitive Computing and Cyber Physical Systems. Third EAI International Conference, IC4S 2022, Virtual Event, November 26-27, 2022, Proceedings}, proceedings_a={IC4S}, year={2023}, month={3}, keywords={Summarization Comment classification Natural language processing Polarity YouTube comments}, doi={10.1007/978-3-031-28975-0_7} }- Mohan Sai Dinesh Boddapati
Madhavi Sai Chatradi
Sridevi Bonthu
Abhinav Dayal
Year: 2023
YouTube Comment Analysis Using Lexicon Based Techniques
IC4S
Springer
DOI: 10.1007/978-3-031-28975-0_7
Abstract
YouTube is used to watch music videos, comedy shows, how-to guides, recipes, hacks, and more. As of February 2020, more than 500 h of video were uploaded to YouTube every minute. This equates to approximately 30,000 h of newly uploaded content per hour. The amount of content on YouTube has increased dramatically as consumers’ appetites for online video have grown. Indeed, the number of video hours uploaded every 60 s increased by roughly 40% between 2014 and 2020. The direct means of user review for this content is the comment section. To survive this cut-through competition, the content creators should constantly check up on their viewers’ opinions, their reviews, and their sentiments toward the video. Although comments provide a direct means of feedback, the YouTuber cannot actually read all those comments. There may be times when he wants to know the drawbacks of the video. This paper proposes a dashboard that assists the content creators in actually looking at the positivity and negativity they have gained through the video. We opted for lexicon-based techniques over traditional classification to classify the comments into various categories. This project is a boon to the content creator’s ability to increase his viewership.
