Exploring Viewer Sentiment: Analyzing Viewer Feedback on ChatGPT Tutorial Videos on YouTube

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dc.contributor.authorDeori, Maya
dc.contributor.authorChetia, Bhagyashree
dc.date.accessioned2024-10-03T06:44:34Z
dc.date.available2024-10-03T06:44:34Z
dc.date.issued2024-08-19
dc.description12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024en_US
dc.description.abstractThis study delves into the realm of viewer sentiment by conducting an in-depth analysis of viewer feedback on tutorial videos featuring ChatGPT on the popular video-sharing platform, YouTube. In this context, tutorial videos play a crucial role in disseminating knowledge and facilitating learning. However, the sentiments expressed by viewers in the comment sections of these videos can provide valuable insights into their perceptions, preferences, and areas of interest. Through this analysis, trends, sentiment strength, and recurring themes in viewer sentiment are identified and examined, shedding light on the effectiveness of tutorial videos in engaging and informing the audience. The findings of this study contribute to a deeper understanding of viewer sentiment in the context of AI tutorial content on YouTube and offer implications for content creators, educators, and researchers aiming to optimize the effectiveness of their instructional materials in the digital age.en_US
dc.identifier.isbn978-93-81232-13-2
dc.identifier.urihttp://ir.inflibnet.ac.in/handle/1944/2471
dc.language.isoenen_US
dc.publisherINFLIBNET Centre Gandhinagaren_US
dc.subjectChatGPT,en_US
dc.subjectSentiment Analysis,en_US
dc.subjectYouTube,en_US
dc.subjectArtificial Intelligence (AI)en_US
dc.titleExploring Viewer Sentiment: Analyzing Viewer Feedback on ChatGPT Tutorial Videos on YouTubeen_US
dc.typeArticleen_US

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