Predicting popularity rating of your video

dc.contributor.advisorSazi, Shahram Azizien
dc.contributor.authorPalwe, Adarsha
dc.date.accessioned2018-09-20T11:19:18Z
dc.date.available2018-09-20T11:19:18Z
dc.date.issued2018
dc.description.abstractSearching and watching videos on YouTube has become a part of our daily lives. By understanding the popularity of online videos and predicting the popularity of future videos is of great importance to organizations as well as individuals who are looking forward to publishing their videos. This research aims to predict the popularity of video with help of Classification Algorithms and suggestion of trending and frequently used tags in the form of word cloud. Here, the researcher has used Decision Tree, Support Vector Machines and Naïve Bayes algorithms for training the prediction model. The results provide a good accuracy of popularity prediction which were compared using percentage split test method.en
dc.identifier.citationPalwe, A. (2018). Predicting Popularity Rating of Your Video. Masters Thesis, Dublin Business School.en
dc.identifier.urihttps://esource.dbs.ie/handle/10788/3493
dc.language.isoenen
dc.publisherDublin Business Schoolen
dc.rightsItems in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder.en
dc.rights.holderCopyright: The authoren
dc.rights.urihttp://esource.dbs.ie/copyrighten
dc.subjectMachine learningen
dc.subjectSupport vector machinesen
dc.titlePredicting popularity rating of your videoen
dc.typeThesisen
dc.type.degreelevelMScen
dc.type.degreenameMSc in Information Systems with Computingen
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