Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/359803
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dc.coverage.spatial
dc.date.accessioned2022-02-03T12:23:50Z-
dc.date.available2022-02-03T12:23:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/359803-
dc.description.abstractNone
dc.format.extentxiii, 175p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDelineating of feature selection and sentiment analysis strategies for optimizing machine learning based opinion polarity prediction
dc.title.alternative
dc.creator.researcherMurali Krishna, Muddada
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordCSSE-Machine learning-Opinion polarity prediction-feature selection and sentiment analysis strategies
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideLavanya Devi, G.
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.publisher.institutionDepartment of Computer Science and Systems Engineering
dc.date.registered
dc.date.completed2019
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Systems Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File114.92 kBAdobe PDFView/Open
02_declaration.pdf33.02 kBAdobe PDFView/Open
03_certificate.pdf8.89 kBAdobe PDFView/Open
04_acknowledgement.pdf21.55 kBAdobe PDFView/Open
05_abstract.pdf36.59 kBAdobe PDFView/Open
06_contents.pdf32.56 kBAdobe PDFView/Open
07_list of tables and figures.pdf28.55 kBAdobe PDFView/Open
08_list of abbrevations.pdf10.65 kBAdobe PDFView/Open
09_chapter 1.pdf129.22 kBAdobe PDFView/Open
10_chapter 2.pdf55.34 kBAdobe PDFView/Open
11_chapter 3.pdf115.68 kBAdobe PDFView/Open
12_chapter 4.pdf808.56 kBAdobe PDFView/Open
13_chapter 5.pdf686.24 kBAdobe PDFView/Open
14_chapter 6.pdf319.82 kBAdobe PDFView/Open
15_chapter 7.pdf37.68 kBAdobe PDFView/Open
16_list of publications.pdf8.72 kBAdobe PDFView/Open
17_references.pdf79.16 kBAdobe PDFView/Open
80_recommendation.pdf151.47 kBAdobe PDFView/Open


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