Effective Approach for Analyzing Twitter Sentimental and Emotional Variations of Public Reactions in Social Media using Deep Learning

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dc.contributor.guideS.Pushpa
dc.coverage.spatial
dc.creator.researcherR.Balamurugan
dc.date.accessioned2024-03-18T12:12:53Z
dc.date.available2024-03-18T12:12:53Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered2014
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/552540
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.publisher.placeChennai
dc.publisher.universitySt. Peter s Institute of Higher Education and Research
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.titleEffective Approach for Analyzing Twitter Sentimental and Emotional Variations of Public Reactions in Social Media using Deep Learning
dc.title.alternative
dc.type.degreePh.D.

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