Design and optimization of efficient classification models for sentiment analysis of product reviews

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dc.contributor.guideM Sudheep Elayidom and T Santhanakrishnan
dc.coverage.spatial
dc.creator.researcherHema Krishnan
dc.date.accessioned2022-04-20T10:43:43Z
dc.date.available2022-04-20T10:43:43Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered2017
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent199
dc.identifier.urihttp://hdl.handle.net/10603/375211
dc.languageEnglish
dc.publisher.institutionSchool of Engineering
dc.publisher.placeCochin
dc.publisher.universityCochin University of Science and Technology
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.subject.keywordHoloentropy
dc.subject.keywordOptimization
dc.subject.keywordPreprocessing
dc.subject.keywordSemantic Similarity
dc.subject.keywordSentiment Analysis
dc.titleDesign and optimization of efficient classification models for sentiment analysis of product reviews
dc.title.alternative
dc.type.degreePh.D.

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