Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2023
EDTF Date Created
2023
Description
In today’s world, data is generated at an unprecedented rate, and a significant portion of it is unstructured text data. The recent advancements in Natural Language Processing have enabled computers to understand and interpret human language. Data mining techniques were once unable to use text data due to the high dimensionality of text processing models. This limitation was overcome with the ability to represent data as text. This thesis aims to compare the predictive performance of structured versus unstructured text data in two different applications. The first application is in the field of real estate. We compare the performance of tabular real-estate data and unstructured text descriptions of homes to predict the house price. The second application is in translating Electronic Health Records (EHR) tabular data to text data for survival classification of COVID-19 patients. Lastly, we present a range of strategies and perspectives for future research.
Language
Type
Form
Extent
48 p.
Subject (Topical)
Identifier
FA00014220
Rights
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Additional Information
Includes bibliography.
Thesis (MS)--Florida Atlantic University, 2023.
FAU Electronic Theses and Dissertations Collection
Date Backup
2023
Date Created Backup
2023
Date Text
2023
Date Created (EDTF)
2023
Date Issued (EDTF)
2023
Extension
FAU
IID
FA00014220
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Cardenas, Erika
author
Graduate College
Physical Description
application/pdf
48 p.
Title Plain
A COMPARATIVE STUDY OF STRUCTURED VERSUS UNSTRUCTURED TEXT DATA
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Origin Information
2023
2023
Florida Atlantic University
Boca Raton, Fla.
Place
Boca Raton, Fla.
Title
A COMPARATIVE STUDY OF STRUCTURED VERSUS UNSTRUCTURED TEXT DATA
Other Title Info
A COMPARATIVE STUDY OF STRUCTURED VERSUS UNSTRUCTURED TEXT DATA