Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/365492
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dc.coverage.spatial
dc.date.accessioned2022-02-28T06:22:40Z-
dc.date.available2022-02-28T06:22:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/365492-
dc.description.abstractNone
dc.format.extentvi, 107p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNew hybrid and neural attention based models for aspect based sentiment analysis of reviews in social media
dc.title.alternative
dc.creator.researcherSrividya, Kotagiri
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.subject.keywordNeural models--Aspect-based sentiment analysis--Reviews in Social Media
dc.description.note
dc.contributor.guideMary Sowjanya, A.
dc.publisher.placeVishakhapatnam
dc.publisher.universityAndhra University
dc.publisher.institutionDepartment of Computer Science and Systems Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialNone
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 File242.53 kBAdobe PDFView/Open
02_declaration.pdf112.57 kBAdobe PDFView/Open
03_certificate.pdf417.47 kBAdobe PDFView/Open
04_acknowledgements.pdf7.63 kBAdobe PDFView/Open
05_dedication.pdf20.86 kBAdobe PDFView/Open
06_contents.pdf12.54 kBAdobe PDFView/Open
07_list of figures.pdf12.49 kBAdobe PDFView/Open
08_list of tables.pdf222.32 kBAdobe PDFView/Open
09_list of acronyms.pdf116.94 kBAdobe PDFView/Open
10_chapter 1.pdf569.82 kBAdobe PDFView/Open
11_chapter 2.pdf342.36 kBAdobe PDFView/Open
12_chapter 3.pdf989.96 kBAdobe PDFView/Open
13_chapter 4.pdf1.03 MBAdobe PDFView/Open
14_chapter 5.pdf1.41 MBAdobe PDFView/Open
15_chapter 6.pdf1.36 MBAdobe PDFView/Open
16_chapter 7.pdf287.56 kBAdobe PDFView/Open
17_research contributions.pdf287.04 kBAdobe PDFView/Open
18_references.pdf321.39 kBAdobe PDFView/Open
80_recommendation.pdf528.99 kBAdobe PDFView/Open


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