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 |
Pagination: | |
URI: | http://hdl.handle.net/10603/351664 |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
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80_recommendation.pdf | Attached File | 288.8 kB | Adobe PDF | View/Open |
certificate page.pdf | 264.41 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 418.51 kB | Adobe PDF | View/Open | |
chapter 2.pdf | 317.43 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 924.79 kB | Adobe PDF | View/Open | |
chapter 4.pdf | 1.06 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 1.51 MB | Adobe PDF | View/Open | |
chapter 6.pdf | 603.13 kB | Adobe PDF | View/Open | |
chapter 7.pdf | 146.31 kB | Adobe PDF | View/Open | |
curriculum vitae.pdf | 23.61 kB | Adobe PDF | View/Open | |
list of publications.pdf | 149.08 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 221.68 kB | Adobe PDF | View/Open | |
references.pdf | 218.21 kB | Adobe PDF | View/Open | |
title page.pdf | 152.6 kB | Adobe PDF | View/Open |
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