Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/475798
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Perception analysis of students feedback using enhanced sentiment analysis through deep learning techniques | |
dc.date.accessioned | 2023-04-12T11:59:32Z | - |
dc.date.available | 2023-04-12T11:59:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/475798 | - |
dc.format.extent | xix,133p. | |
dc.language | English | |
dc.relation | p.117-132 | |
dc.rights | university | |
dc.title | Perception analysis of students feedback using enhanced sentiment analysis through deep learning techniques | |
dc.title.alternative | ||
dc.creator.researcher | Sangeetha, K | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Interdisciplinary Applications | |
dc.subject.keyword | Deep learning | |
dc.subject.keyword | Sentiment analysis | |
dc.subject.keyword | Student Feedback | |
dc.description.note | ||
dc.contributor.guide | Prabha, D | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 17.19 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.21 MB | Adobe PDF | View/Open | |
03_content.pdf | 342.93 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 340.76 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 392.81 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 1.14 MB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 892.79 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 1.29 MB | Adobe PDF | View/Open | |
09_annexures.pdf | 204.25 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 150.04 kB | Adobe PDF | View/Open |
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