1. Shodhganga@INFLIBNET
  2. Bharathidasan University
  3. Department of Computer Science and Applications
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/287506
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2020-04-03T08:24:25Z-
dc.date.available2020-04-03T08:24:25Z-
dc.identifier.urihttp://hdl.handle.net/10603/287506-
dc.description.abstractnewline
dc.format.extent104
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleImproving the accuracy of twitter sentiment analysis By mitigating the limitations of API
dc.title.alternative
dc.creator.researcherKavitha P.
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Information Systems
dc.description.note
dc.contributor.guidePrabakaran M.
dc.publisher.placeTiruchirappalli
dc.publisher.universityBharathidasan University
dc.publisher.institutionDepartment of Computer Science and Applications
dc.date.registered18-1-2016
dc.date.completed2019
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Applications

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10ch5.pdfAttached File1.57 MBAdobe PDFView/Open
11con.pdf39.21 kBAdobe PDFView/Open
12ref.pdf61.8 kBAdobe PDFView/Open
1title.pdf2.67 MBAdobe PDFView/Open
2certfi.pdf59.91 kBAdobe PDFView/Open
3dec.pdf18.55 kBAdobe PDFView/Open
4acknow.pdf24.75 kBAdobe PDFView/Open
5cont.pdf48.9 kBAdobe PDFView/Open
6ch1.pdf105.28 kBAdobe PDFView/Open
7ch2.pdf122.09 kBAdobe PDFView/Open
8ch3.pdf288 kBAdobe PDFView/Open
9ch4.pdf256.89 kBAdobe PDFView/Open
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