Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/590078
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2024-09-19T05:40:32Z | - |
dc.date.available | 2024-09-19T05:40:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/590078 | - |
dc.description.abstract | Available | - |
dc.language | English | - |
dc.rights | university | - |
dc.title | Aspect level sentiment classification using Soft Computing | - |
dc.creator.researcher | Sharma, Tanu | - |
dc.subject.keyword | Computer Science | - |
dc.subject.keyword | Computer Science Software Engineering | - |
dc.subject.keyword | Engineering and Technology | - |
dc.subject.keyword | Soft computing | - |
dc.contributor.guide | Kaur, Kamaldeep | - |
dc.publisher.place | Delhi | - |
dc.publisher.university | Guru Gobind Singh Indraprastha University | - |
dc.publisher.institution | University School of Information and Communication Technology | - |
dc.date.completed | 2024 | - |
dc.date.awarded | 2024 | - |
dc.format.accompanyingmaterial | None | - |
dc.type.degree | Ph.D. | - |
dc.source.inflibnet | INFLIBNET | - |
Appears in Departments: | University School of Information and Communication Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 192.01 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 311.86 kB | Adobe PDF | View/Open | |
03_contents.pdf | 249.3 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 232.67 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 762.69 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 478.69 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.04 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.23 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.54 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.16 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 1.27 MB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 319.39 kB | Adobe PDF | View/Open | |
13_annexures files.pdf | 19.6 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 338.53 kB | Adobe PDF | View/Open |
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