Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/609655
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dc.coverage.spatial
dc.date.accessioned2024-12-27T08:33:02Z-
dc.date.available2024-12-27T08:33:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/609655-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleComputational Methods and Resources for Analysis of Multimodal Social Media Data Towards Online Well Being
dc.title.alternative
dc.creator.researcherSingh, Aakash
dc.subject.keywordComputational learning theory
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.subject.keywordOnline social networks
dc.subject.keywordSocial media
dc.subject.keywordUser-generated content
dc.description.note
dc.contributor.guideSingh, Vivek Kumar
dc.publisher.placeVaranasi
dc.publisher.universityBanaras Hindu University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File263.49 kBAdobe PDFView/Open
02_prelim pages.pdf2.28 MBAdobe PDFView/Open
03_content.pdf82.7 kBAdobe PDFView/Open
04_abstract.pdf866 kBAdobe PDFView/Open
05_chapter 1.pdf155.78 kBAdobe PDFView/Open
06_chapter 2.pdf167.54 kBAdobe PDFView/Open
07_chapter 3.pdf4.77 MBAdobe PDFView/Open
08_chapter 4.pdf755.08 kBAdobe PDFView/Open
09_chapter 5.pdf425.3 kBAdobe PDFView/Open
10_annexures.pdf235.47 kBAdobe PDFView/Open
11_chapter 6.pdf899.33 kBAdobe PDFView/Open
12_chapter 7.pdf122.97 kBAdobe PDFView/Open
80_recommendation.pdf377.96 kBAdobe PDFView/Open


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