1. Shodhganga@INFLIBNET
  2. Vellore Institute of Technology, Vellore
  3. School of Computing Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/350359
Title: Sentiment Analysis of Twitter Data for Enhancing the Performance of Polarity Detection
Researcher: Lijo V P
Guide(s): Hari Seetha
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: VIT University
Completed Date: 2021
Abstract: newline
Pagination: 1-145
URI: http://hdl.handle.net/10603/350359
Appears in Departments:School of Computing Science and Engineering

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01_title.pdfAttached File43.64 kBAdobe PDFView/Open
02_ declaration,certificate.pdf153.11 kBAdobe PDFView/Open
03_abstract.pdf23.28 kBAdobe PDFView/Open
04_acknowledgment.pdf40.26 kBAdobe PDFView/Open
05_table of contents.pdf24.86 kBAdobe PDFView/Open
06_list of figures.pdf19.9 kBAdobe PDFView/Open
07_list of tables.pdf18.95 kBAdobe PDFView/Open
08_list of terms and abbreviations.pdf20.18 kBAdobe PDFView/Open
09_chapter 1.pdf445.28 kBAdobe PDFView/Open
10_chapter 2.pdf111.11 kBAdobe PDFView/Open
11_chapter 3.pdf354.09 kBAdobe PDFView/Open
12_chapter 4.pdf191.94 kBAdobe PDFView/Open
13_chapter 5.pdf503.97 kBAdobe PDFView/Open
14_chapter 6.pdf287.52 kBAdobe PDFView/Open
15_chapter 7.pdf29.26 kBAdobe PDFView/Open
16_references.pdf73.05 kBAdobe PDFView/Open
17_list of publications.pdf26.8 kBAdobe PDFView/Open
80_recommendation.pdf356.51 kBAdobe PDFView/Open
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