1. Shodhganga@INFLIBNET
  2. Sant Gadge Baba Amravati University
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/594867
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-10-11T11:25:29Z-
dc.date.available2024-10-11T11:25:29Z-
dc.identifier.urihttp://hdl.handle.net/10603/594867-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Efficient Framework for Social Media Emotion Analysis Using Image Based Sentiments
dc.title.alternative
dc.creator.researcherDarokar, M S
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordImaging Science and Photographic Technology
dc.description.note
dc.contributor.guideRaut, A D
dc.publisher.placeAmravati
dc.publisher.universitySant Gadge Baba Amravati University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File44.99 kBAdobe PDFView/Open
02_prelim page.pdf2.09 MBAdobe PDFView/Open
03_content page.pdf148.59 kBAdobe PDFView/Open
04_abstract.pdf27.48 kBAdobe PDFView/Open
05_chapter 01.pdf1.17 MBAdobe PDFView/Open
06_chapter 02.pdf383.34 kBAdobe PDFView/Open
07_chapter 03.pdf240.83 kBAdobe PDFView/Open
08_chapter 04.pdf1.17 MBAdobe PDFView/Open
09-chapter 05.pdf2.18 MBAdobe PDFView/Open
10_chapter 06.pdf144.38 kBAdobe PDFView/Open
11_annexures.pdf2.52 MBAdobe PDFView/Open
80_recommendation.pdf188.41 kBAdobe PDFView/Open
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