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)
This paper introduces a sentiment analysis system tailored for YouTube comments, leveraging the Random Forest algorithm for
sentiment classification. The system automates the categorization of comments into positive, negative, or neutral sentiments,
offering valuable insights into audience sentiment towards video content. The study encompasses data collection, preprocessing,
model training, evaluation, and result visualization. Results demonstrate the efficacy of Random Forest in accurately categorizing
comments and visualizing sentiment distribution. Non-standard abbreviations are avoided, and the abstract stands independently
without references or citations. The paper encourages further exploration of Random Forest in sentiment analysis for online
platforms like YouTube
Keywords:
Sentiment analysis, YouTube comments, Random Forest, Machine learning, Data visualization
Cite Article:
"UNDERSTANDING AUDIENCE SENTIMENT: A COMPREHENSIVE SENTIMENT ANALYSIS SYSTEM FOR YOUTUBE COMMENTS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d464-d471, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404353.pdf
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ISSN:
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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