Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2010/paper/main/542> ?p ?o. }
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- 542 creator jose-san-pedro.
- 542 creator sergiu-chelaru.
- 542 creator stefan-siersdorfer.
- 542 creator wolfgang-nejdl.
- 542 type InProceedings.
- 542 label "How useful are your comments? - Analyzing and Predicting YouTube Comments and Comment Ratings".
- 542 sameAs 542.
- 542 abstract "An analysis of the leading social video sharing platform YouTube reveals a high amount of community feedback through comments for published videos as well as through meta ratings for these comments. In this paper, we present an in-depth study of commenting and comment rating behavior on a sample of more than 6 million comments from about 67,000 YouTube videos for which we analyzed various dependencies between comments, views, comment ratings and topic categories. Furthermore, we also study the influence of sentiment expressed in comments on the ratings for these comments using the SentiWordNet thesaurus, a lexical WordNet-based resource containing sentiment annotations. Finally, to predict community acceptance for comments not yet rated, we build different classifiers for the prediction of ratings for these comments. The results of our large-scale evaluations are promising and indicate that community feedback on already rated comments can help to filter new unrated comments or suggest particularly useful but still unrated comments.".
- 542 hasAuthorList authorList.
- 542 isPartOf proceedings.
- 542 keyword "Social data analysis".
- 542 keyword "analytics".
- 542 title "How useful are your comments? - Analyzing and Predicting YouTube Comments and Comment Ratings".