Date of Award

2014

Publisher

North Dakota State University

Document Type

Master's Paper

Degree Awarded

Master of Science (MS)

Program

Software Engineering

Department

Computer Science

College

Engineering

Faculty Advisor

Jin, Wei

Description

Products are purchased and sold on a daily basis and people tend to critique on products they purchase. Those who want to buy a product will read reviews on that product given by others before buying; likewise those who have already bought a product will write a review on it. This paper presents a technique for visualizing data that comes from reviews given online for different products. My contribution to this project is to create a tool and process the tagged files generated with the help of machine learning. This project also focuses on the implementation of Semantic matching which reduces redundancy by grouping similar data together. Semantic matching helps put all the synonyms of the data together. Implementation of Semantic matching is supported by the implementation of error correction technique. Error correction improves data quality by correcting spelling mistakes made by people while writing reviews.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/24757

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