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  Published Paper Details:

  Paper Title

Youtube Video Analyser using LLM

  Authors

  Sihaam S,  Amruth Prasad E

  Keywords

YouTube Video Analyzer, Content Summarization, Natural Language Processing (NLP), TextBlob, Streamlit, Google GenerativeAI, Sentiment Analysis, Viewer Comments, Machine Learning, Digital Content Analysis, Public Opinion

  Abstract


Automated Summarization and Sentiment Analysis of Streaming Content The YouTube Video Analyzer addresses the growing need for efficient analysis of streaming content. This tool utilizes natural language processing (NLP) and machine learning to automatically extract and summarize information from YouTube videos and viewer comments. It integrates sentiment analysis, Google's GenerativeAI Gemini Pro for summarization, and leverages YouTube's official APIs for comprehensive content analysis. This allows users to quickly grasp video content and viewer sentiment, empowering researchers, creators, and enthusiasts to navigate the vast world of streaming content with greater ease. The YouTube Video Analyzer represents a significant step forward for automated content analysis in the online streaming landscape.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2409300

  Paper ID - 268766

  Page Number(s) - c665-c669

  Pubished in - Volume 12 | Issue 9 | September 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Sihaam S,  Amruth Prasad E,   "Youtube Video Analyser using LLM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 9, pp.c665-c669, September 2024, Available at :http://www.ijcrt.org/papers/IJCRT2409300.pdf

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


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