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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
Downloads:
000205222
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