Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458316
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dc.coverage.spatial
dc.date.accessioned2023-02-15T12:04:02Z-
dc.date.available2023-02-15T12:04:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/458316-
dc.description.abstractnewlineAttached
dc.format.extentXXVII, 176
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Intelligence Based Sentiment Analysis Of Email And Sms Messages
dc.title.alternative
dc.creator.researcherSrinivasarao, Ulligaddala
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordData augmentation
dc.subject.keywordEmail sentiment analysis
dc.subject.keywordEmail sequence identification
dc.subject.keywordEngineering and Technology
dc.subject.keywordFeature extraction
dc.subject.keywordSMS classification
dc.description.note
dc.contributor.guideSharaff, Aakanksha
dc.publisher.placeRaipur
dc.publisher.universityNational Institute of Technology Raipur
dc.publisher.institutionComputer Science and Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions30 cm x 21 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File64.52 kBAdobe PDFView/Open
02_preliminary pages.pdf11.28 MBAdobe PDFView/Open
03_contents.pdf1.42 MBAdobe PDFView/Open
04_abstract.pdf526.52 kBAdobe PDFView/Open
05_chapter 1.pdf3.25 MBAdobe PDFView/Open
06_chapter 2.pdf5.3 MBAdobe PDFView/Open
07_chapter 3.pdf5.86 MBAdobe PDFView/Open
08_chapter 4.pdf6.66 MBAdobe PDFView/Open
09_chapter 5.pdf8 MBAdobe PDFView/Open
10_chapter 6.pdf5.67 MBAdobe PDFView/Open
11_chapter 7.pdf7.04 MBAdobe PDFView/Open
13_annextures.pdf7.45 MBAdobe PDFView/Open
80_recommendation.pdf1.42 MBAdobe PDFView/Open


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