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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29798

Rating Based on YouTube Comments

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29798

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29798

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKM

Poornima K M

VGM

Vibha G M

SKS

Siri K S

RSR

Ruchitha S R

SSR

Sneha S R

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Abstract

YouTube is the most used social media platform, and it has been most popular website where users can post the videos. Opinion mining technique is used to know the sentiments expressed in YouTube comments. Focusing on diverse subjects, Naive Bayes is used to classify comments into positive, negative, and neutral sentiments. It uncovers trends in user opinions, identify preferences in teaching styles and content formats, and assess the perceived quality of educational videos. It also guides educators and content creators in optimizing educational content delivery and encourages more effective learning environment. Finally, the paper suggests reasonable approaches to achieve better results.

KEYWORDS

Sentiment Analysis Machine Learning Naive Bayes.

Cite This Article

Poornima K M, Vibha G M, Siri K S, Ruchitha S R, Sneha S R, "Rating Based on YouTube Comments," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29798

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12/31/45379

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