Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/444644
Title: | Study and Design Methods for Detecting Sentiment and Variation in the Sentiment of Topic Relevant Tweets |
Researcher: | Pradhan, Rahul |
Guide(s): | Sharma, Dilip Kumar |
Keywords: | Computer Science Computer Science Information Systems Engineering and Technology |
University: | GLA University |
Completed Date: | 2022 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/444644 |
Appears in Departments: | Department of Computer Engineering & Applications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01.title.pdf | Attached File | 54.3 kB | Adobe PDF | View/Open |
02.prelim pages.pdf | 1.03 MB | Adobe PDF | View/Open | |
03.content.pdf | 105.28 kB | Adobe PDF | View/Open | |
04.abstract.pdf | 80.83 kB | Adobe PDF | View/Open | |
05.chapter 1.pdf | 333.99 kB | Adobe PDF | View/Open | |
06.chapter 2.pdf | 323.49 kB | Adobe PDF | View/Open | |
07.chapter 3.pdf | 335.89 kB | Adobe PDF | View/Open | |
08.chapter 4.pdf | 889.88 kB | Adobe PDF | View/Open | |
09.chapter 5.pdf | 565.51 kB | Adobe PDF | View/Open | |
10.chapter 6.pdf | 122.19 kB | Adobe PDF | View/Open | |
11.annexures.pdf | 274.74 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 175.47 kB | Adobe PDF | View/Open |
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