Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/471008
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Computer science | |
dc.date.accessioned | 2023-03-20T09:57:10Z | - |
dc.date.available | 2023-03-20T09:57:10Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/471008 | - |
dc.description.abstract | newline | |
dc.format.extent | xx, 153p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | An Efficient Approach for Multilingual Sentiment Analysis in Social Media Networks | |
dc.title.alternative | ||
dc.creator.researcher | Deepa Mary Mathews | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | Bibliography p.131-152, Appendices p.153 | |
dc.contributor.guide | Sajimon Abraham | |
dc.publisher.place | Kottayam | |
dc.publisher.university | Mahatma Gandhi University | |
dc.publisher.institution | School of Computer Sciences | |
dc.date.registered | 2017 | |
dc.date.completed | 2020 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | School of Computer Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 101.06 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.49 MB | Adobe PDF | View/Open | |
03_contents.pdf | 262.6 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 156.5 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 822.18 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.15 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 921.3 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 917.68 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 782.03 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 683.21 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 580.87 kB | Adobe PDF | View/Open |
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