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Analyzing User Comments of Learning Videos from YouTube Using Machine Learning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Jain, Shipra Patel, Mayank |
| Copyright Year | 2019 |
| Abstract | To observe how developers write, execute and debug their code, coding videos are a really great approach. In all previous research regarding this domain were focused on either just creating videos as per the needs of viewers or as well as interest, interpretation, and inspiration of creators. The focal point in this work is establishing a relationship between coding lesson video creators and their viewers . To examine the comments of viewers to produce more convenient connection in both ends. The main goal of this work is to assist the relationship of video creators and their viewers to understand more about their desire and produce a solution which is more productive. For this study, UCI data set is used which is a collection of 6000 comments. At the end of this classified and summarized comments of only genuine viewers is collected and tried to improve the accuracy as well as the time complexity of the whole process. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijirset.com/upload/2019/august/50_Analyzing_DJ.PDF |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
