Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/444644
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dc.coverage.spatial
dc.date.accessioned2023-01-13T04:49:24Z-
dc.date.available2023-01-13T04:49:24Z-
dc.identifier.urihttp://hdl.handle.net/10603/444644-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsself
dc.titleStudy and Design Methods for Detecting Sentiment and Variation in the Sentiment of Topic Relevant Tweets
dc.title.alternative
dc.creator.researcherPradhan, Rahul
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSharma, Dilip Kumar
dc.publisher.placeMathura
dc.publisher.universityGLA University
dc.publisher.institutionDepartment of Computer Engineering and Applications
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Engineering & Applications

Files in This Item:
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01.title.pdfAttached File54.3 kBAdobe PDFView/Open
02.prelim pages.pdf1.03 MBAdobe PDFView/Open
03.content.pdf105.28 kBAdobe PDFView/Open
04.abstract.pdf80.83 kBAdobe PDFView/Open
05.chapter 1.pdf333.99 kBAdobe PDFView/Open
06.chapter 2.pdf323.49 kBAdobe PDFView/Open
07.chapter 3.pdf335.89 kBAdobe PDFView/Open
08.chapter 4.pdf889.88 kBAdobe PDFView/Open
09.chapter 5.pdf565.51 kBAdobe PDFView/Open
10.chapter 6.pdf122.19 kBAdobe PDFView/Open
11.annexures.pdf274.74 kBAdobe PDFView/Open
80_recommendation.pdf175.47 kBAdobe PDFView/Open


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