Predicting Polarity of Social Media Data using Wilcoxon and T Test as Feature Optimization technique for Sentiment Analysis

dc.contributor.guide	Nagaratna P Hegde and Khaleel UR Rahman Khan
dc.coverage.spatial
dc.creator.researcher	Fouzia Sayeedunnisa S
dc.date.accessioned	2025-01-24T09:32:02Z
dc.date.available	2025-01-24T09:32:02Z
dc.date.awarded	2021
dc.date.completed	2021
dc.date.registered	2012
dc.description.abstract	Attached newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	188 pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/617512
dc.language	English
dc.publisher.institution	Faculty of Computer Science and Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Feature Extraction
dc.subject.keyword	Multi Objective Polarity
dc.subject.keyword	Sentiment Analysis
dc.subject.keyword	Social media data
dc.subject.keyword	Wilcoxon sing rank
dc.title	Predicting Polarity of Social Media Data using Wilcoxon and T Test as Feature Optimization technique for Sentiment Analysis
dc.title.alternative
dc.type.degree	Ph.D.