Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/445628
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-13T11:28:45Z-
dc.date.available2023-01-13T11:28:45Z-
dc.identifier.urihttp://hdl.handle.net/10603/445628-
dc.description.abstractnewline
dc.format.extentxix, 115 pages
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleIdentification of Covid 19 Tweets using Artificial Intelligence Techniques
dc.title.alternative
dc.creator.researcherM. S., Jagadeesh
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideP. J. A., Alphonse
dc.publisher.placeTiruchirappalli
dc.publisher.universityNational Institute of Technology Tiruchirappalli
dc.publisher.institutionDepartment of Computer Applications
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Applications

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File92.37 kBAdobe PDFView/Open
02_prelim.pdf144.67 kBAdobe PDFView/Open
03_content.pdf30.49 kBAdobe PDFView/Open
04_abstract.pdf22.92 kBAdobe PDFView/Open
05_chapter 1.pdf519.02 kBAdobe PDFView/Open
06_chapter 2.pdf72.21 kBAdobe PDFView/Open
07_chapter 3.pdf582.58 kBAdobe PDFView/Open
08_chapter 4.pdf1.15 MBAdobe PDFView/Open
09_chapter 5.pdf477.53 kBAdobe PDFView/Open
10_chapter 6.pdf467.06 kBAdobe PDFView/Open
11_chapter 7.pdf26.15 kBAdobe PDFView/Open
12_annexures.pdf81.69 kBAdobe PDFView/Open
80_recommendation.pdf727.29 kBAdobe PDFView/Open


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