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 SizeFormat 
01.title.pdfAttached File54.3 kBAdobe PDFView/Open
02.prelim pages.pdf1.03 MBAdobe PDFView/Open
03.content.pdf105.28 kBAdobe PDFView/Open
04.abstract.pdf80.83 kBAdobe PDFView/Open
05.chapter 1.pdf333.99 kBAdobe PDFView/Open
06.chapter 2.pdf323.49 kBAdobe PDFView/Open
07.chapter 3.pdf335.89 kBAdobe PDFView/Open
08.chapter 4.pdf889.88 kBAdobe PDFView/Open
09.chapter 5.pdf565.51 kBAdobe PDFView/Open
10.chapter 6.pdf122.19 kBAdobe PDFView/Open
11.annexures.pdf274.74 kBAdobe PDFView/Open
80_recommendation.pdf175.47 kBAdobe PDFView/Open
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