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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: YouTube Transcript Summarization Using LSA
Authors Name: P.J.V.G.Prakasa Rao , S.Hyndhavi , T.Varshitha , G.Sai Maha lakshmi , T.lavanya
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IJRTI_187576
Published Paper Id: IJRTI2307052
Published In: Volume 8 Issue 7, July-2023
DOI:
Abstract: YouTube Transcript Summarization extension combines machine learning and web development. In this project, we provide a reduced version of a video's documentation. YouTube transcript summarization using Latent Semantic Analysis (LSA) is a technique used to automatically generate concise and informative summaries of video content. LSA is a statistical technique that analyzes the relationships between words in a large corpus of text and identifies underlying latent semantic concepts. By applying LSA to a YouTube video transcript, it is possible to identify the most important concepts and extract key sentences that capture the essence of the video. The resulting summary can be useful for viewers who want to quickly understand the main points of a video without having to watch the entire content. In this abstract, we provide a brief overview of the process of YouTube transcript summarization using LSA and discuss its potential applications
Keywords: Text Summarization, NLP, Spacy, NLTK, Chrome Extension ,LSA
Cite Article: "YouTube Transcript Summarization Using LSA", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.349 - 353, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307052.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2307052
Registration ID:187576
Published In: Volume 8 Issue 7, July-2023
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Page No: 349 - 353
Country: Vizianagaram, Andhra Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307052
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307052
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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