multi lingual and code mixed based approaches for sentiment analysis using twitter data

dc.contributor.guide	Dr. A. Srinagesh
dc.coverage.spatial
dc.creator.researcher	Arun Kodirekka
dc.date.accessioned	2026-02-13T06:10:28Z
dc.date.available	2026-02-13T06:10:28Z
dc.date.awarded	2024
dc.date.completed	2024
dc.date.registered	2016
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/695173
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Guntur
dc.publisher.university	Acharya Nagarjuna University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Cybernetics
dc.subject.keyword	Engineering and Technology
dc.title	multi lingual and code mixed based approaches for sentiment analysis using twitter data
dc.title.alternative
dc.type.degree	Ph.D.