Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/348062
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2021-11-18T05:05:27Z | - |
dc.date.available | 2021-11-18T05:05:27Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/348062 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An Intelligent framework for multi model intensity level sentiment analysis of emotion classification using deep learning models | |
dc.title.alternative | ||
dc.creator.researcher | V. Ganesh | |
dc.subject.keyword | Arts and Humanities | |
dc.subject.keyword | Arts and Recreation | |
dc.subject.keyword | Art | |
dc.description.note | ||
dc.contributor.guide | M. Kumaresan | |
dc.publisher.place | Annamalai Nagar | |
dc.publisher.university | Annamalai University | |
dc.publisher.institution | Department of Computer and Information Science | |
dc.date.registered | 2012 | |
dc.date.completed | 2020 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer and Information Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
80_recommendation.pdf | Attached File | 1.53 MB | Adobe PDF | View/Open |
acknowledgement.pdf | 562.48 kB | Adobe PDF | View/Open | |
certificate.pdf | 151.79 kB | Adobe PDF | View/Open | |
chapter-1.pdf | 17.58 MB | Adobe PDF | View/Open | |
chapter-2.pdf | 11.83 MB | Adobe PDF | View/Open | |
chapter-3.pdf | 4.39 MB | Adobe PDF | View/Open | |
chapter-4.pdf | 6.97 MB | Adobe PDF | View/Open | |
chapter-5.pdf | 45.87 MB | Adobe PDF | View/Open | |
chapter-6.pdf | 10.3 MB | Adobe PDF | View/Open | |
chapter-7.pdf | 8.43 MB | Adobe PDF | View/Open | |
chapter-8 conclusion future work.pdf | 1.53 MB | Adobe PDF | View/Open | |
cover-title page.pdf | 80.56 kB | Adobe PDF | View/Open |
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