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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
"Harnessing Large Language Models for Automated YouTube Video Summarization and Note Generation"
Authors
Venu Gopal SR, Bhoomika S, Boorsu Chaitanya Krishna, Manjunath K, Ramya H
Keywords
Video Summarization, Deep Learning, Natural Language Processing, Machine Learning, OpenCV, YouTube Data API, Streamlit, Deep Neural Networks, Feature Extraction, Text Summarization, Automatic Speech Recognition, Extractive Summarization, Abstractive Summarization, Video Processing, Real-time Systems
Abstract
This study has been undertaken to investigate the determinants of stock returns in Karachi Stock Exchange (KSE) using two assets pricing models the classical Capital Asset Pricing Model and Arbitrage Pricing Theory model. To test the CAPM market return is used, and macroeconomic variables are used to test the APT. The macroeconomic variables include inflation, oil prices, interest rate and exchange rate. For the very purpose monthly time series data has been arranged from Jan 2010 to Dec 2014. The analytical framework contains.
IJCRT's Publication Details
Unique Identification Number - IJCRT2412245
Paper ID - 273533
Page Number(s) - c242-c249
Pubished in - Volume 12 | Issue 12 | December 2024
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Venu Gopal SR, Bhoomika S, Boorsu Chaitanya Krishna, Manjunath K, Ramya H, ""Harnessing Large Language Models for Automated YouTube Video Summarization and Note Generation"", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.c242-c249, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412245.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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