Sentiment Analysis of Social Media Network

A tétel rövid nézete
dc.contributor.advisorIspány, Márton
dc.contributor.authorHashmi, Sirmad Mahmood
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2019-05-06T12:19:21Z
dc.date.available2019-05-06T12:19:21Z
dc.date.created2018-05-31
dc.description.abstractSocial 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.hu_HU
dc.description.correctorN.I.
dc.description.courseComputer Sciencehu_HU
dc.description.degreeegységes, osztatlanhu_HU
dc.format.extent42hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/266978
dc.language.isoenhu_HU
dc.subjectEnsemble Machine learninghu_HU
dc.subjectAdaBoosthu_HU
dc.subjectExtra Tree Classifierhu_HU
dc.subjectRandom Forest Classifierhu_HU
dc.subjectSentiment analysishu_HU
dc.subjectYouTubehu_HU
dc.subjectGeographical based data mininghu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleSentiment Analysis of Social Media Networkhu_HU
Fájlok
Gyűjtemények
Theses (IK)