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Title
PREDICTING OVERALL CUSTOMER SATISFACTION FOR AN EFFECTIVE OPINION ANALYSIS ON ECOMMERCE WEBSITES
Name of Researcher
VIJAYA SAGVEKAR
Name of Guide
PRASHANT SHARMA
Completed Year
2023
Faculty Name
ENGINEERING
Language
English
Abstract
Online stores now collect a large amount of client feedback in the form of surveys, reviews, and comments. This feedback is categorized in some circumstances for often underused - despite the fact that customer choice is critical to their business's success. E-commerce websites have evolved in a wide variety of the advantages of marketing for consumers to publish or share their engagement with the obtained goods by writing reviews that include beneficial remarks, thoughts, and product review. Nowadays, a huge quantity of customers have the ability to compare products in digital stores as well as select their topmost selections in automated merchants, for example, Amazon.com and Taobao.com.Sentiment Analysis is widely used as the voice of the client in applications aimed towards displaying and client care. Sentiment extractors, in their top basic framework, categorize communications as having a positive, negative, or occasionally neutral premise. User reviews on e-commerce websites give useful details about th
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1- Front Page (1).pdf
3- Acknowledgement.pdf
5- Index Final.pdf
4- Abstract.pdf
CHAPTER 1.pdf
CHAPTER 2.pdf
CHAPTER 3.pdf
CHAPTER 4.pdf
Paper Publication.pdf
FINAL THESIS VIJAYA (2).pdf
80_Recommendation.pdf
CHAPTER 5.pdf
REFERENCES.pdf
Paper Publication.pdf
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