Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/403152
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-09-06T06:08:14Z | - |
dc.date.available | 2022-09-06T06:08:14Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/403152 | - |
dc.description.abstract | attached newline | |
dc.format.extent | 121 | |
dc.language | English | |
dc.relation | APA | |
dc.rights | university | |
dc.title | a framework for analyzing sentiment trend on big data using natural language processing | |
dc.title.alternative | ||
dc.creator.researcher | Sandhu, Nymphea Saraf | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Upadhyay, Arvind Kumar | |
dc.publisher.place | Gwalior | |
dc.publisher.university | Amity University Madhya Pradesh | |
dc.publisher.institution | Computer Science and Engineering | |
dc.date.registered | 2014 | |
dc.date.completed | 2022 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 133.17 kB | Adobe PDF | View/Open |
02_certificate.pdf | 263.64 kB | Adobe PDF | View/Open | |
03_content.pdf | 205.74 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 211.32 kB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 336.6 kB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 406.01 kB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 242.11 kB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 791.28 kB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 160.46 kB | Adobe PDF | View/Open | |
10_references.pdf | 193.2 kB | Adobe PDF | View/Open | |
11_plagiarism report.pdf | 448.67 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 151.73 kB | Adobe PDF | View/Open |
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