Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351664
Title: A Novel Sentiment Analysis Framework for Effective Polarity Prediction Entity Extraction and Summarization of User Comments
Researcher: Shobana J
Guide(s): Murali M
Keywords: Computer Science
Computer Science Software Engineering
Engineering and Technology
University: SRM University
Completed Date: 2021
Abstract: Sentiment analysis is a computational study of discovering, reviewing and examining customerand#8223;s feelings towards a particular events, entity, interest etc. Sentiment Analysis is a broad area of research in the field of Text Mining and Natural Language Processing. It has grabbed the attention of many researchers. Social Media is a forum designed to allow people to create content, interact with society, share ideas, information, and lead a new way to socializing. Nowadays online reviews shared in social media plays a vital role by giving a helping hand to the customers to know about other customerand#8223;s opinions about the product they are going to purchase newline
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URI: http://hdl.handle.net/10603/351664
Appears in Departments:Department of Computer Science Engineering

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certificate page.pdf264.41 kBAdobe PDFView/Open
chapter 1.pdf418.51 kBAdobe PDFView/Open
chapter 2.pdf317.43 kBAdobe PDFView/Open
chapter 3.pdf924.79 kBAdobe PDFView/Open
chapter 4.pdf1.06 MBAdobe PDFView/Open
chapter 5.pdf1.51 MBAdobe PDFView/Open
chapter 6.pdf603.13 kBAdobe PDFView/Open
chapter 7.pdf146.31 kBAdobe PDFView/Open
curriculum vitae.pdf23.61 kBAdobe PDFView/Open
list of publications.pdf149.08 kBAdobe PDFView/Open
preliminary page.pdf221.68 kBAdobe PDFView/Open
references.pdf218.21 kBAdobe PDFView/Open
title page.pdf152.6 kBAdobe PDFView/Open
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