Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519993
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dc.coverage.spatialSocial sentiment analysis on covid 19 tweets using efficient optimisation algorithm in deep learning
dc.date.accessioned2023-10-22T06:27:26Z-
dc.date.available2023-10-22T06:27:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/519993-
dc.format.extentxv,118p.
dc.languageEnglish
dc.relationp.110-117
dc.rightsuniversity
dc.titleSocial sentiment analysis on covid 19 tweets using efficient optimisation algorithm in deep learning
dc.title.alternative
dc.creator.researcherMeena R
dc.subject.keywordCovid-19
dc.subject.keywordOpinion Mining
dc.subject.keywordSentiment Analysis
dc.description.note
dc.contributor.guideThulasi Bai
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21 CM
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File123.14 kBAdobe PDFView/Open
02_prelim_pages.pdf3.9 MBAdobe PDFView/Open
03_contents.pdf91.84 kBAdobe PDFView/Open
04_abstracts.pdf79.39 kBAdobe PDFView/Open
05_chapter1.pdf308.38 kBAdobe PDFView/Open
06_chapter2.pdf168.51 kBAdobe PDFView/Open
07_chapter3.pdf418.21 kBAdobe PDFView/Open
08_chapter4.pdf452.82 kBAdobe PDFView/Open
09_chapter5.pdf969.29 kBAdobe PDFView/Open
10_chapter6.pdf463.18 kBAdobe PDFView/Open
11_chapter7.pdf893.84 kBAdobe PDFView/Open
12_annexures.pdf103.15 kBAdobe PDFView/Open
80_recommendation.pdf86.71 kBAdobe PDFView/Open


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