Ispány, MártonHashmi, Sirmad Mahmood2019-05-062019-05-062018-05-31http://hdl.handle.net/2437/266978Social media has become a rapid and effective way of gauging public opinion for business, politics, sports, etc. However, YouTube unique characteristics give rise to new problems for current social media analysis such as the difference of opinion on videos from different geographical regions. This research presents a comparative statistical analysis of sentiments, emotions, writing structures, etc. between Great Britain and The United States of America. The major part of this research is devoted to the comparison of ensemble machine learning approaches for sentence-level sentiment classification. In this thesis document, the comparison of experimental results with the proposed techniques and their performances are shown.42enEnsemble Machine learningAdaBoostExtra Tree ClassifierRandom Forest ClassifierSentiment analysisYouTubeGeographical based data miningDEENK Témalista::Informatika