INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The rapid growth of video-sharing and social media platforms, facilitated by Web 2.0 technologies, has led to a surge in user-generated content. Among these platforms, YouTube stands out with its vast user base. This paper addresses the challenge of distinguishing between clickbait and non-clickbait content in YouTube video titles. Previous research has explored various machine learning algorithms for this purpose, but often lacked comprehensive exploratory data analysis (EDA) and overlooked the application of advanced methods like BERT classification. In this study, we conduct an in-depth EDA, preprocess the data, and employ machine learning techniques, including Multinomial Naive Bayes, Support Vector Machine (SVM), Random Forest, and Bidirectional Encoder Representations from Transformers (BERT). Our objective is not only to accurately identify clickbait titles but also to improve user experience, enhance advertiser trust, and optimize YouTube's recommendation system. Through this research, we provide valuable insights into the detection of clickbait, contributing to the evolving landscape of content moderation and user interaction on social media platforms.
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"Clickbait Identifiction from Youtube titles", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.d247-d252, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311322.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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