Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/525339
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-11-14T12:14:43Z | - |
dc.date.available | 2023-11-14T12:14:43Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/525339 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Student Sentiment Analysis Based on Optimized Feature Learning Using Multi Perception Neural Classifier in E Learning Environment | |
dc.title.alternative | ||
dc.creator.researcher | Laishram Kirtibas Singh | |
dc.subject.keyword | Automation and Control Systems | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Renuga Devi R | |
dc.publisher.place | Chennai | |
dc.publisher.university | Vels University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2018 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 69.33 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 246.41 kB | Adobe PDF | View/Open | |
03_content.pdf | 17.32 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 9.58 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 125.56 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 177.78 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 92.01 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 139.3 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 106.08 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 2.22 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 154.44 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 6.35 kB | Adobe PDF | View/Open |
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