Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/487832
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-05-31T12:07:26Z | - |
dc.date.available | 2023-05-31T12:07:26Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/487832 | - |
dc.description.abstract | File attached newline | |
dc.format.extent | xiii, 231p | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Innovative cross domain adaptation approach for sentiment analysis | |
dc.title.alternative | ||
dc.creator.researcher | Save, Ashwini Manohar | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Cross domain sentiment analysis | |
dc.subject.keyword | Deep learning | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Machine learning | |
dc.subject.keyword | Sentiment analysis | |
dc.description.note | Location - Knowledge Resource Centre, Kalina | |
dc.contributor.guide | Shekokar, Narendra M | |
dc.publisher.place | Mumbai | |
dc.publisher.university | University of Mumbai | |
dc.publisher.institution | Computer Engineering, SVKM s Dwarkadas J. Sanghvi College of Engineering | |
dc.date.registered | 2017 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 30*21 | |
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer Engineering, SVKM s Dwarkadas J. Sanghvi College of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 93.38 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 585.8 kB | Adobe PDF | View/Open | |
03_contents.pdf | 246.58 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 86.05 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 625.17 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 481.99 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 151.57 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 326.49 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.58 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.7 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 1.8 MB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 485.06 kB | Adobe PDF | View/Open | |
13_chapter 9.pdf | 1.44 MB | Adobe PDF | View/Open | |
14_chapter 10.pdf | 233.23 kB | Adobe PDF | View/Open | |
15_annexures.pdf | 516.28 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 325.73 kB | Adobe PDF | View/Open |
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