Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/334505
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2021-08-03T06:29:28Z-
dc.date.available2021-08-03T06:29:28Z-
dc.identifier.urihttp://hdl.handle.net/10603/334505-
dc.format.extentxviii, 179
dc.languageEnglish
dc.relationno. of references 145
dc.rightsuniversity
dc.titleText mining based netnographic study for measuring consumer perception of select sports brands
dc.title.alternative-
dc.creator.researcherSinghvi, Vishu
dc.subject.keywordNetnographic study
dc.subject.keywordSports Brands
dc.subject.keywordText Mining
dc.description.notereferences 164-176, appendices p.177-179
dc.contributor.guideSrivastava, Prateek
dc.publisher.placeUdaipur
dc.publisher.universitySir Padampat Singhania University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2014
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions-
dc.format.accompanyingmaterialNone
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.pdfAttached File8.11 kBAdobe PDFView/Open
02_certificate.pdf22.36 kBAdobe PDFView/Open
03_declaration.pdf177.52 kBAdobe PDFView/Open
04_acknowledgements.pdf278.64 kBAdobe PDFView/Open
05_table of contents.pdf300.88 kBAdobe PDFView/Open
06_abstract.pdf289.35 kBAdobe PDFView/Open
07_list of publications.pdf194.64 kBAdobe PDFView/Open
08_list of figures.pdf297.11 kBAdobe PDFView/Open
09_list of tables.pdf377.63 kBAdobe PDFView/Open
10_ abbreviations.pdf180.78 kBAdobe PDFView/Open
11_notations.pdf250.95 kBAdobe PDFView/Open
12_chaspter 1.pdf481.88 kBAdobe PDFView/Open
13_chapter 2.pdf365.62 kBAdobe PDFView/Open
14_chapter 3.pdf3.07 MBAdobe PDFView/Open
15_chapter 4.pdf1.56 MBAdobe PDFView/Open
16_conclusion and future prospects.pdf302.26 kBAdobe PDFView/Open
17_references.pdf365.19 kBAdobe PDFView/Open
18_appendix.pdf415.52 kBAdobe PDFView/Open
80_recommendation.pdf309.42 kBAdobe PDFView/Open


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