Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/599980
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-11-08T05:29:56Z | - |
dc.date.available | 2024-11-08T05:29:56Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/599980 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Design and Development of infused Optimization Approaches for advanced Sentiment Analysis in Online Shopping | |
dc.title.alternative | ||
dc.creator.researcher | Balaji, G.M | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Interdisciplinary Applications | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Vadivazhagan, K | |
dc.publisher.place | Annamalai Nagar | |
dc.publisher.university | Annamalai University | |
dc.publisher.institution | Department of Computer and Information Science | |
dc.date.registered | 2020 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
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 | |
---|---|---|---|---|
001 title.pdf | Attached File | 77.78 kB | Adobe PDF | View/Open |
002 prelims.pdf | 125.59 kB | Adobe PDF | View/Open | |
003 content.pdf | 60.75 kB | Adobe PDF | View/Open | |
004 abstract.pdf | 31.33 kB | Adobe PDF | View/Open | |
005 chapter 1.pdf | 4.9 MB | Adobe PDF | View/Open | |
006chapter 2.pdf | 4.19 MB | Adobe PDF | View/Open | |
007 chapter 3.pdf | 4.18 MB | Adobe PDF | View/Open | |
008 chapter 4.pdf | 5.4 MB | Adobe PDF | View/Open | |
009 chapter -5.pdf | 5.6 MB | Adobe PDF | View/Open | |
010 chapter 6.pdf | 5.88 MB | Adobe PDF | View/Open | |
012 annxure.pdf | 9.06 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 3.91 MB | Adobe PDF | View/Open |
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