"Dublin Core:Title","Dublin Core:Description","Dublin Core:Creator","Dublin Core:Date","Dublin Core:Publisher","Dublin Core:Language","Dublin Core:Type","Dublin Core:Identifier","Dublin Core:Subject","Dublin Core:Source","Dublin Core:Contributor","Dublin Core:Rights","Dublin Core:Relation","Dublin Core:Format","Dublin Core:Coverage","Item Type Metadata:Text","Item Type Metadata:URL",tags,file,itemType,collection,public,featured
" Novel Approach to Predicting Live-Stream Subscribers","Yang, Y. C., Lee, Y. H., Lee, S. H., & Chang, S. (2020). A Novel Approach to Predicting Live-Stream Subscribers. In Proceedings of the 7th Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, Management and Technology (pp. 1-4).","Yang, Y. C., Lee, Y. H., Lee, S. H., & Chang, S. ",2020,"Multidisciplinary in International Social Networks Conference and The 3rd International Conference on Economics, Management and Technology",English,"Conference Paper","https://doi.org/10.1145/3429395.3429423",,,,,,,,,,"Live stream,social media,Subscriber prediction,Text Mining",,,,1,0
"Understanding characteristics of popular streamers on live streaming platforms: evidence from Twitch. tv","Zhao, K., Hu, Y., Hong, Y., & Westland, J. C. (2019). Understanding characteristics of popular streamers on live streaming platforms: evidence from Twitch. tv. Journal of the Association for Information Systems, Forthcoming.","Zhao, K., Hu, Y., Hong, Y., & Westland, J. C.",2019,"Journal of the Association for Information Systems",English,"Journal Paper","https://doi.org/10.17705/1jais.00689",,,,,,,,,,"live streaming,personality,popularity,Streamer,Text Mining,Video analysis",,,,1,0
"Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost—Discovery Challenge ChAT: CoolStoryBob","Fernandes, M. (2020). Detecting Potential Subscribers on Twitch: A Text Mining Approach with XGBoost—Discovery Challenge ChAT: CoolStoryBob.
","Fernandes, M. ",2020,Ceur,English,Paper,"http://ceur-ws.org/Vol-2661/paper3.pdf",,,,,,,,,,"Chat Analytics,ECML-PKDD Discovery Challenge,Natural Language Processing,Text Mining,twitch.tv,XGBoost",,,,1,0