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  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM28302

SUMMARIZE PODCAST TRANSCRIPTS

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM28302

Volume:

8 |

1 |

Jan 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM28302

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

HM

Harshitha M

DMN

Deepika M N

LF

Lamees Fathima

SKK

Sachin K K

SR

Spoorthi R

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Abstract

In the modern world, a significant amount of videos with information are uploaded every day. Selecting the appropriate video and comprehending the proper content. Despite the abundance of videos available, some of them will contain pointless material, and even if there is flawless content, it should still be needed of us. If the correct one is not located, all of your time and effort will be wasted trying to extract the useful information. We offer a novel concept that makes use of NLP. This gives consumers the ability to distinguish between pertinent and irrelevant information based on their needs by providing the video’s key material in text description and abstractive summary. Additionally, our tests demonstrate that the joint model can provide high-quality, succinct, and understandable multi-line video summaries and descriptions in a human evaluation text extraction through processing and text summarization through BERT summarization.

KEYWORDS

Video Summarization Deep Neural Networks Supervised Learning Summarization Datasets Evaluation Protocols.

Cite This Article

Harshitha M, Deepika M N, Lamees Fathima, Sachin K K, Spoorthi R, "SUMMARIZE PODCAST TRANSCRIPTS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 1, Jan 2024. https://doi.org/10.55041/IJSREM28302

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Publication Date

12/31/45313

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Double-Blind Peer Review

Review Rounds: 2

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2

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5

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The authors declare no conflict of interest related to this research work.

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