SENTIMENT ANALYSIS ON TRENDING YOUTUBE VIDEO BY USER COMMENT

Authors

  • Anamika Research Scholar, Department of Computer Science and Engineering Lakshmi Narain College of Technology Bhopal (M.P)
  • Dr.Megha Kamble Assistant Professor, Department of Computer Science and Engineering Lakshmi Narain College of Technology Bhopal (M.P)

Keywords:

Sentiment analysis, youtube, Opinion mining, prediction

Abstract

User comments are the most popular but also extremely controversial form of communication on YouTube. Opinion mining or comment toward attitude evaluation, individual entity, are usually called sentiment. Everyone is free to give opinion related with the present opinions on youtube. Hence people have a free will to express their opinion regarding the performance. Due to the raise of many critics that appear in a short amount of time, there a needs to conduct research on opinion mining. Sentiment analysis is a technique used by researchers to measure and classify the popular content from social media. Public sentiments related to prediction of events, such as Election demonstrations, indicate public attitude, public interest and predict the election results. In this research, opinion mining is applied on the Youtube comments related to “PRIME MINISTER NARENDRA MODI'S MANN KI BAAT WITH THE NATION, AUGUST 2020”. using machine learning techniques. The proposed model will show a good ability to predict user sentiments.

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Published

31-12-2020

How to Cite

Anamika, & Dr.Megha Kamble. (2020). SENTIMENT ANALYSIS ON TRENDING YOUTUBE VIDEO BY USER COMMENT. International Journal for Research Publication and Seminar, 11(4), 19–25. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1191

Issue

Vol. 11 No. 4 (2020): october-december

Section

Original Research Article

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Copyright (c) 2020 International Journal for Research Publication and Seminar

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