Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/481845
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-05-09T08:35:37Z | - |
dc.date.available | 2023-05-09T08:35:37Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/481845 | - |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Qualitative sentiment analysis on millennial using neuro linguistic programming | |
dc.title.alternative | ||
dc.creator.researcher | Kumar, Arun | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Panda, Supriya P. | |
dc.publisher.place | Faridabad | |
dc.publisher.university | Manav Rachna International Institute of Research and Studies | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | 2016 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 18.56 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 323.42 kB | Adobe PDF | View/Open | |
03_contents.pdf | 111.98 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 122.62 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 469.67 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 217.55 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 117.51 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 247.85 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 181 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 598.01 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 120.82 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 866.51 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 127.81 kB | Adobe PDF | View/Open |
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