Degree Type

Dissertation

Date of Award

2020

Degree Name

Doctor of Philosophy

Department

Theses & dissertations (College of Business)

Major

Businessand Technology(Information Systems)

First Advisor

Zhu Zhang

Abstract

Natural Language Processing (NLP) techniques have been recognized as useful tools in various applications, such as language translation, stock price prediction, and semantic analysis. In recent years, the larger amount of data and faster computational hardware become available, NLP techniques are applied in a much broader application spectrum, and business applications are the frontier. My dissertation works at the intersection of business, Information Systems, and NLP. It extends NLP application scenarios in the business setting and employs NLP techniques in different real-world scenarios, including document topic categorization, company performance prediction, and corporate event sequence prediction. In particular, these problems are addressed by topic modeling techniques, recurrent neural networks, and sequence-to-sequence neural network architecture.

DOI

https://doi.org/10.31274/etd-20200902-174

Copyright Owner

Shuang Zhai

Language

en

File Format

application/pdf

File Size

181 pages

Available for download on Sunday, August 28, 2022

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