Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/341153
Title: | Aspect Level Sentiment Polarity Classification Using Sequence Attention Mechanism with Amplified Intelligence |
Researcher: | Sindhu C |
Guide(s): | Vadivu G |
Keywords: | Automation and Control Systems Computer Science Engineering and Technology |
University: | SRM University |
Completed Date: | 2021 |
Abstract: | With the exploding web technology, user generated content is all over the web and is accessible almost everywhere in this world. Such an accessibility has paved way for an easier suggestion seeking paradigm. In this fast-paced world, we humans find no time to stand and stare, which well suits this scenario, where, we don t want to read through each and every review of a product or a service. Sentiment Analysis is, thus an inevitable process, which helps every manufacturer and brand-owner to analyse the pros and cons of his own item and his competing products. Furthermore, be it any service or product, the experience shared about it is multi-dimensional with loads of emotions splashed into it newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/341153 |
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 | 361.45 kB | Adobe PDF | View/Open |
certificate page.pdf | 188.83 kB | Adobe PDF | View/Open | |
chapter 1.pdf | 1.12 MB | Adobe PDF | View/Open | |
chapter 2.pdf | 352.98 kB | Adobe PDF | View/Open | |
chapter 3.pdf | 827.4 kB | Adobe PDF | View/Open | |
chapter 4.pdf | 1.02 MB | Adobe PDF | View/Open | |
chapter 5.pdf | 896.31 kB | Adobe PDF | View/Open | |
chapter 6.pdf | 737.64 kB | Adobe PDF | View/Open | |
chapter 7.pdf | 194.5 kB | Adobe PDF | View/Open | |
curriculum vitae.pdf | 48.97 kB | Adobe PDF | View/Open | |
list of publications.pdf | 175.37 kB | Adobe PDF | View/Open | |
preliminary page.pdf | 327.91 kB | Adobe PDF | View/Open | |
references.pdf | 290.73 kB | Adobe PDF | View/Open | |
title page.pdf | 176.73 kB | Adobe PDF | View/Open |
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