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Affect level opinion mining of Twitter streams

By: Senarath, Wijesuriya Arachchige Yasas PramudithaContributor(s): Dr. Uthayasanker Thayasivam [supervisor]Language: English Publisher: [2019]Description: viii, 51p. : ill. (some col.), tables, CD-ROM includedSubject(s): MSc in Computer Science | COMPUTER SCIENCE AND ENGINEERING-Dissertations | SOCIAL MEDIA | TWITTER | EMOTION CLASSIFICATION | EMOTION INTENSITY PREDICTION | SENTIMENT ANALYSIS | OPINION MININGOnline resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2019
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
004(043) (Browse shelf) DCS 05/117 LB/DON/18/2020 Not For Loan TH4112

M.Sc. in Computer Science and Engineering By Research

Total holds: 0

Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2019

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