Visualizing sentiment contents for web sentiment analysis: An application on Twitter data

A tétel rövid nézete
dc.contributor.advisorAdamkó, Attila
dc.contributor.authorQin, Jingsheng
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-11-28T15:39:00Z
dc.date.available2021-11-28T15:39:00Z
dc.date.created2021-11
dc.description.abstractThis thesis describes how to design and build a web app to help its user to analyze the sentiment information from the data files through visualizing results. The beginning is the introduction to the theoretical and practical meanings of the title and a summary for this thesis. And then some related works and background knowledge about data mining, NLP, etc. Then a tutorial for environment preparations and authentications. And then the methodology explains how to design and build the app that includes 4 parts: data collecting, sentiment analysis, visualizing the results, and integration into a web. The Demo chapter presents the integrated web with some examples. Finally, discuss and summarize the characteristics of this system, and the conclusion for this research.hu_HU
dc.description.courseComputer Sciencehu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent40hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/325763
dc.language.isoenhu_HU
dc.subjectvisualizationhu_HU
dc.subjectsentiment analysishu_HU
dc.subjectweb applicationhu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleVisualizing sentiment contents for web sentiment analysis: An application on Twitter datahu_HU
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