Date of Award
Doctor of Philosophy
Theses & dissertations (College of Business)
Businessand Technology(Information Systems)
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.
Zhai, Shuang, "Business analytics using machine learning and large-scale textual data: Three essays" (2020). Graduate Theses and Dissertations. 18255.
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