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Schedule
2023
Tuesday, January 3rd
12:00 AM

A Practical and Empirical Comparison of Three Topic Modeling Methods Using a COVID-19 Corpus: LSA, LDA, and Top2Vec

Ferhat Zengul, University of Alabama at Birmingham
Aysegul Bulut, University of Alabama at Birmingham
Nurettin Oner, University of Alabama at Birmingham
Abdulaziz Ahmed, University of Alabama Birmingham
Manju Yadav, University of Alabama at Birmingham
Hope Gracie Gray, University of Alabama at Birmingham
Bunyamin Ozaydin, University of Alabama at Birmingham

Online

12:00 AM - 12:00 AM

12:00 AM

Deep Learning in Predicting Real Estate Property Prices: A Comparative Study

Donghui Shi, Anhui Jianzhu University
Hui Zhang, Anhui Jianzhu University
Jian Guan, University of Louisville
Jozef Zurada, University of Louisville
Zejun Chen, Anhui Jianzhu University
Xiyang Li, Anhui Jianzhu University

Online

12:00 AM - 12:00 AM

12:00 AM

Detecting Feature Requests of Third-Party Developers through Machine Learning: A Case Study of the SAP Community

Martin Kauschinger, Technical University of Munich
Niklas Vieth, SAP Deutschland SE & Co. KG
Maximilian Schreieck, University of Innsbruck
Helmut Krcmar, Technical University of Munich

Online

12:00 AM - 12:00 AM

12:00 AM

Integration of Computer Vision with Analogical Reasoning for Characterizing Unknowns

Kara Combs, Applied Research Solutions
Trevor Bihl, Air Force Research Laboratory
Subhashini Ganapathy, Wright State University

Online

12:00 AM - 12:00 AM

12:00 AM

Introduction to the Minitrack on Data, Text, and Web Mining for Business Analytics

Dursun Delen, Oklahoma State University
Behrooz Davazdahemami, University of Wisconsin-Whitewater

Online

12:00 AM - 12:00 AM

12:00 AM

Multi-Domain Named Entity Recognition for Robotic Process Automation

Maria Ganzha, Warsaw University of Technology
Aleksander Denisiuk, University of Warmia and Mazury
Piotr Sowiński, Warsaw University of Technology
Katarzyna Wasielewska-Michniewska, Polish Academy of Sciences
Marcin Paprzycki, Polish Academy of Sciences

Online

12:00 AM - 12:00 AM

12:00 AM

Your Sentiment Matters: A Machine Learning Approach for Predicting Regime Changes in the Cryptocurrency Market

José Parra-Moyano, Copenhagen Business School
Daniel Partida, University of Zurich
Moritz Gessl, Moonpass

Online

12:00 AM - 12:00 AM