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SMU Data Science Review

Volume 7, Number 1 (2023)

Articles

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Extending the M3-Competition: Category and Interval-Specific Time Series Forecasting
Will Sherman, Kati Schuerger, Randy Kim, and Bivin Sadler

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Professor Text: University Fundraising Optimization
Braden Anderson, Connor Dobbs, Hien Lam, and John Santerre

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Content-Based Unsupervised Fake News Detection on Ukraine-Russia War
Yucheol Shin, Yvan Sojdehei, Limin Zheng, and Brad Blanchard

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Using NLP to Model U.S. Supreme Court Cases
Katherine Lockard, Robert Slater, and Brandon Sucrese

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Following the Crowd: Beginners Investors Guide to the Options Market
Jeremy Dawkins, Alexy Morris, Jacob Gipson, and Masoud Valizadeh

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Question Answering with distilled BERT models: A case study for Biomedical Data
Brittany Lewandowski, Rayon Morris, Pearly Merin Paul, and Robert Slater

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Identifying Features and Predicting Consumer Helpfulness of Product Reviews
Triston Hudgins, Shijo Joseph, Douglas Yip, and Gaston Besanson