Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/351887
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2021-12-20T12:46:35Z | - |
dc.date.available | 2021-12-20T12:46:35Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/351887 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Tourist Sentimental Opinion Classifier using Machine Learning Techniques and Natural Language Processing | |
dc.title.alternative | ||
dc.creator.researcher | Shubha S | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.description.note | ||
dc.contributor.guide | Suresh P | |
dc.publisher.place | Coimbatore | |
dc.publisher.university | Bharathiar University | |
dc.publisher.institution | Department of Computer Science | |
dc.date.registered | 2012 | |
dc.date.completed | 2019 | |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 66.91 kB | Adobe PDF | View/Open |
02_certificate.pdf | 2.41 MB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 741.32 kB | Adobe PDF | View/Open | |
04_chapter1.pdf | 842.48 kB | Adobe PDF | View/Open | |
05_chapter2.pdf | 369.22 kB | Adobe PDF | View/Open | |
06_chapter3.pdf | 594.48 kB | Adobe PDF | View/Open | |
07_chapter4.pdf | 661.39 kB | Adobe PDF | View/Open | |
08_chapter5.pdf | 617.78 kB | Adobe PDF | View/Open | |
09_chapter6.pdf | 601.85 kB | Adobe PDF | View/Open | |
10_chapter7.pdf | 518.57 kB | Adobe PDF | View/Open | |
11_references.pdf | 401.41 kB | Adobe PDF | View/Open | |
12_appendix.pdf | 1.7 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 586.47 kB | Adobe PDF | View/Open |
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