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DOI Prefix: 10.47001/IRJIET

YouTube Transcript Summarizer Analysis using Machine Learning Techniques

Ankitha SowmyaDepartment of Master of Computer Applications, RV College of Engineering® Bengaluru -560059, Karnataka, IndiaYashaswini GDepartment of Master of Computer Applications, RV College of Engineering® Bengaluru -560059, Karnataka, IndiaProf. Chandrani ChakravortyAssistant Professor, Department of Master of Computer Application, RV College of Engineering® Bengaluru -560059, Karnataka, India

Vol 6 No 2 (2022): Volume 6, Issue 2, February 2022 | Pages: 62-66

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 25-02-2022

doi Logo doi.org/10.47001/IRJIET/2022.602011

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Abstract

Nowadays, on YouTube, there are lots of videos uploaded every single day over the world which is very long, mostly educational, entertainment, documentaries, news clips, and more. If you want an important source from the videos, it is impossible. And to get a particular content from a video, a whole video has to be watched which is a complete waste of time and the source is also not a piece of relevant information out of it and also effort for watching multiple videos to extract the useful information. To solve that problem, summarizing transcripts are useful and are one way go. It uses the ‘Natural Language Processing’ technique to summarize the abstractive text.

Keywords

Natural Language Processing, Abstractive Summarization, Hugging Face, Machine Learning, YouTube, Keyword Extraction


Citation of this Article

Ankitha Sowmya, Yashaswini G, Prof. Chandrani Chakravorty, “YouTube Transcript Summarizer Analysis using Machine Learning Techniques” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 2, pp 62-66, February 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.602011

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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