Sentiment analysis correlation between actors and viewers in online review videos

Rafayat, Ahmed; Tamzid, Enamul Karim

dc.contributor.author	Rafayat, Ahmed
dc.contributor.author	Tamzid, Enamul Karim
dc.date.accessioned	2020-11-11T09:24:13Z
dc.date.available	2020-11-11T09:24:13Z
dc.date.issued	2019-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/671
dc.description	Supervised by Md. Abed Rahman Assistant Professor Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT)	en_US
dc.description.abstract	In this paper, we study the disparity of sentiments sentiment of actors in a video and its respective user comments. We propose a method to calculate the sentiment score for each video and each comment user. This method enables us to place the video sentiment and comment sentiment into the same time period to explore the sentiment factor. We adopt the correlation coe cient between the sentiment scores of actors and viewers to measure the in uence. We categorize the youtube videos with respect to subscriber count and try comment on the fact how it a ects the correlation between the video and comment sentiment. Community detection and machine learning are integrated into our approach. We nd that the di erence for correlation coe cients exists between di erent levels of the number of subscribers and their audience base.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh	en_US
dc.title	Sentiment analysis correlation between actors and viewers in online review videos	en_US
dc.type	Thesis	en_US