Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/350536
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2021-12-08T09:31:04Z | - |
dc.date.available | 2021-12-08T09:31:04Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/350536 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Studies On The Development Of an Efficient Hybrid Approach Towards Social Media Sentiment Analysis and Opinion Mining | |
dc.title.alternative | ||
dc.creator.researcher | Jayamalini,K | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Ponnavaikko,M. | |
dc.publisher.place | Chennai | |
dc.publisher.university | Bharath University | |
dc.publisher.institution | Department of Engineering and Technology(Computer Science and Engineering) | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
80_recommendation.pdf | Attached File | 706.86 kB | Adobe PDF | View/Open |
certificate.pdf | 280.48 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 563.19 kB | Adobe PDF | View/Open | |
chapter 2.pdf | 461.41 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 878.42 kB | Adobe PDF | View/Open | |
chapter 4.pdf | 971.61 kB | Adobe PDF | View/Open | |
chapter 5.pdf | 967.96 kB | Adobe PDF | View/Open | |
chapter 6.pdf | 1.79 MB | Adobe PDF | View/Open | |
chapter 7.pdf | 953.99 kB | Adobe PDF | View/Open | |
chapter 8.pdf | 1.15 MB | Adobe PDF | View/Open | |
chapter 9.pdf | 390.3 kB | Adobe PDF | View/Open | |
preliminary pages.pdf | 424.89 kB | Adobe PDF | View/Open | |
title.pdf | 316.98 kB | Adobe PDF | View/Open |
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