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  Published Paper Details:

  Paper Title

YouTube Comment Analyzer

  Authors

  Aditya Neve,  Kalpesh Pachpute,  Prerana Thorve,  Bhimashankar Mathapati

  Keywords

YouTube comment, Sentiment Analysis, Classification, Machine Learning

  Abstract


The YouTube Comment Analyzer is a Python-based tool that helps content creators and marketers analyse and organize user-provided comments on YouTube videos. It uses Python's robust capabilities to efficiently process and categorize comments, overcoming challenges in the unstructured nature of comments. We categorize the user comments posted on YouTube video sharing website based on their relevance to the video content given by the description associated with the video posted. Comments are analysed for polarity and are further segregated as positive or negative. A comparative analysis of classifier using the Bag of Words and Association List approaches is presented

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2406909

  Paper ID - 264610

  Page Number(s) - i50-i60

  Pubished in - Volume 12 | Issue 6 | June 2024

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.40249

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aditya Neve,  Kalpesh Pachpute,  Prerana Thorve,  Bhimashankar Mathapati,   "YouTube Comment Analyzer", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.i50-i60, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406909.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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