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Title: A Quick Overview of Open Educational Resources Videos available on YouTube through Sentiment Analysis
Authors: Deka, Manashjyoti
T A, Yadukrishnan
Kumar, Amit
Keywords: Open Educational Resources (OER)
YouTube Videos
Sentiment Analysis
Webometric Analyst
ParallelDots API
Issue Date: Nov-2022
Publisher: INFLIBNET Centre, Gandhinagar
Series/Report no.: CALIBER-2022;16
Abstract: In an environment where higher education is competitive, learning resources are frequently seen as significant intellectual property and often come at a cost that leads to the exclusion of a group of aspiring learners. Open Educational Resources (OER) are digital learning materials that are freely and publicly available on the Internet from organizations and people inrecent times. One such platform where OER contents are available is YouTube. By means of examining OER videos on YouTube throughout the year 2021, this article intends to look into the development of the opensource movement. Using sentiment and emotional analysis approaches, this article looks at how viewers perceive and engage with OER YouTube content. It then offers useful information to OER enablers for the movement's efficient growth and spread in the context of user interaction. In the end, this study offers a route towards understanding how sentiment analysis might help in structuring the tactics to make significant and pertinent materials survive and thrive in an era of unending explosion of random information.
Description: 13th International CALIBER-2022, BHU, Varanasi, UP, 17-19 November 2022
ISBN: 9789381232101
Appears in Collections:CALIBER 2022: Varanasi, UP

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