Sentimental Analysis of YouTube Videos

Authors

  • Aditya Baravkar  Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
  • Rishabh Jaiswal  Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
  • Jayesh Chhoriya  Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
  • Prof. Bhanu Tekwani  Professor Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT2172112

Keywords:

YouTube, Sentiments, Comments

Abstract

YouTube is the second most popular social media platform with two billion users. Every minute around thousand hours of videos are uploaded. On an average people watch one billion hours of YouTube videos per day. Every youtuber want their video to get popular and make best possible efforts. However, video can crawl at the top of search with help of clickbait, etc. which compromises the content of video. There are videos whose relevancy and quality are top-notch but cannot make to top five or ten. People watching such videos interact by commenting, liking and subscribing. Especially in education category, viewers interested in watching long marathons or tutorial series have to make choice wisely to avoid wastage of time. To get favorable videos on top list, the sentiments of comments, no. of likes, views, comments is considered. The objective is to provide well analyzed and relevant educational videos to the budding students by reducing valuable search time.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aditya Baravkar, Rishabh Jaiswal, Jayesh Chhoriya, Prof. Bhanu Tekwani, " Sentimental Analysis of YouTube Videos" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.554-562, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT2172112