Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351664
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dc.date.accessioned2021-12-16T06:53:21Z-
dc.date.available2021-12-16T06:53:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/351664-
dc.description.abstractSentiment analysis is a computational study of discovering, reviewing and examining customerand#8223;s feelings towards a particular events, entity, interest etc. Sentiment Analysis is a broad area of research in the field of Text Mining and Natural Language Processing. It has grabbed the attention of many researchers. Social Media is a forum designed to allow people to create content, interact with society, share ideas, information, and lead a new way to socializing. Nowadays online reviews shared in social media plays a vital role by giving a helping hand to the customers to know about other customerand#8223;s opinions about the product they are going to purchase newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Novel Sentiment Analysis Framework for Effective Polarity Prediction Entity Extraction and Summarization of User Comments
dc.title.alternative
dc.creator.researcherShobana J
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideMurali M
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File288.8 kBAdobe PDFView/Open
certificate page.pdf264.41 kBAdobe PDFView/Open
chapter 1.pdf418.51 kBAdobe PDFView/Open
chapter 2.pdf317.43 kBAdobe PDFView/Open
chapter 3.pdf924.79 kBAdobe PDFView/Open
chapter 4.pdf1.06 MBAdobe PDFView/Open
chapter 5.pdf1.51 MBAdobe PDFView/Open
chapter 6.pdf603.13 kBAdobe PDFView/Open
chapter 7.pdf146.31 kBAdobe PDFView/Open
curriculum vitae.pdf23.61 kBAdobe PDFView/Open
list of publications.pdf149.08 kBAdobe PDFView/Open
preliminary page.pdf221.68 kBAdobe PDFView/Open
references.pdf218.21 kBAdobe PDFView/Open
title page.pdf152.6 kBAdobe PDFView/Open


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