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Title: :  ML Based Spam Comments Detection on Youtube
PaperId: :  23554
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23554
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Darshini CDon Bosco Institute of Technology
Amrutha Varshini V L Don Bosco Institute of Technology
Bi Bi FathimaDon Bosco Institute of Technology
Darshini N Don Bosco Institute of Technology
Prof. R YashodaraDon Bosco Institute of Technology
Prof. Divyashree K Don Bosco Institute of Technology

Abstract

Information Science & Engineering
ML evaluation, ML techniques, Naïve bayes, decision tree, MLP classifier.
The rise of spam comments on platforms like YouTube has become a significant concern, as they not only hinder genuine user engagement but also pose serious risks to users' safety and privacy. Machine Learning (ML) offers a powerful solution to combat spam comments by automating the process of detecting and preventing them. With the ability to analyse vast amounts of data and patterns, ML algorithms can effectively distinguish between legitimate comments and those that are spam. One of the commonly employed approaches in ML for spam comment detection is the Naive Bayes classification algorithm. Naive Bayes is a probabilistic algorithm that calculates the likelihood of a comment being spam based on its characteristics and the occurrence of specific keywords or phrases that are typical of spam content. By training the algorithm on a labelled dataset of spam and non-spam comments, it can learn to recognize patterns and generalize its understanding to new, unseen comments. Achieving a detection accuracy of 92.78% is indeed promising, but researchers and developers continue to explore other ML techniques and combinations to further improve the accuracy and robustness of spam comment detection systems. Ensemble methods, deep learning, and natural language processing (NLP) techniques are among the advanced ML approaches gaining attention in this domain. One crucial aspect of an effective spam detection system is its adaptability and responsiveness to emerging spam tactics.

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IJARIIE Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5526-5530
MLA Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5526-5530.
APA Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, & Prof. Divyashree K . (2024). ML Based Spam Comments Detection on Youtube. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5526-5530.
Chicago Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5526-5530.
Oxford Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . 'ML Based Spam Comments Detection on Youtube', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5526-5530. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf (Accessed : ).
Harvard Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . (2024) 'ML Based Spam Comments Detection on Youtube', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5526-5530IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf (Accessed : )
IEEE Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K , "ML Based Spam Comments Detection on Youtube," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5526-5530, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf [Accessed : ].
Turabian Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . ML Based Spam Comments Detection on Youtube. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 5526-5530. Available from: https://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf
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