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Publications

Journals

Schumaker, R., Labedz Jr., C., Brown, L. and Jarmoszko, A. T., (2017). Prediction from Regional Angst – A Study of NFL Sentiment in Twitter Using Stock Market Charting. Decision Support Systems. Forthcoming

Schumaker, R., Jarmoszko, A. T. and Labedz Jr., C., (2016). Predicting Wins and Spread in the Premier League Using a Sentiment Analysis of Twitter. Decision Support Systems. 88(8):76-84

Grenier, E., Fair, C. and Schumaker, R., (2014). Social Media – Is it a Valid Source for Creating New Business?. Journal of Creative Communications. 9(2):147-159

Reganti, K., Kuruvella, R., Syamala, S. and Schumaker, R., (2014). An Evaluation of EHR and the Barriers to Adoption by Small Medical Practices . International Journal of Privacy and Health Information Management. 2(2):57-71

Schumaker, R., (2013). Data Mining the Harness Track and Predicting Outcomes. Journal of International Technology and Information Management. 22(2):103-107

Schumaker, R., (2013). Machine Learning the Harness Track- Crowdsourcing and Varying Race History. Decision Support Systems. 54(3):1370-1379

Schumaker, R., Zhang, Y., Huang, C. and Chen, H., (2012). Evaluating Sentiment in Financial News Articles. Decision Support Systems. 53(3):458-464

Schumaker, R., (2011). From Data to Wisdom- The Progression of Computational Learning in Text Mining. Communications of the International Information Management Association. 11(1):39-48

Schumaker, R., (2010). Analyzing Parts of Speech and their Impact on Stock Price. Communications of the International Information Management Association. 10(3):1-10

Schumaker, R. and Chen, H., (2010). A Discrete Stock Price Prediction Engine Based on Financial News. IEEE Computer. 43(1):51-56

Schumaker, R., Solieman, O. and Chen, H., (2009). Sports Knowledge Management and Data Mining. Annual Review of Information Science and Technology. 44

Schumaker, R. and Chen, H., (2009). A Quantitative Stock Price Prediction System based on Financial News. Information Processing and Management. 45(5):571-583

Schumaker, R. and Johnson, J., (2008). An Investigation of SVM Regression to Predict Longshot Greyhound Races. Communications of the International Information Management Association. 8(2):67-82

Schumaker, R. and Chen, H., (2008). Textual Analysis of Stock Market Prediction Using Breaking Financial News- The AZFinText System. Association for Computing Machinery Transactions on Information Systems. 27(2)

Schumaker, R. and Chen, H., (2008). Evaluating a News-Aware Quantitative Trader- The Effects of Momentum and Contrarian Stock Selection Strategies. Journal of the American Society for Information Science and Technology. 59(2):247-255

Schumaker, R. and Chen, H., (2007). Leveraging Question Answer Technology to Address Terrorism Inquiry. Decision Support Systems. 43(4):1419-1430

Schumaker, R., Liu, Y., Ginsburg, M. and Chen, H., (2007). Evaluating the Efficacy of a Terrorism Question Answer System- The TARA Project. Communications of the Association for Computing Machinery. 50(7):74-80

Schumaker, R., Liu, Y., Ginsburg, M. and Chen, H., (2006). Evaluating Mass Knowledge Acquisition using the ALICE Chatterbot. International Journal of Human-Computer Studies. 64(11):1132-1140

Schumaker, R., Ginsburg, M., Chen, H. and Liu, Y., (2006). An Evaluation of the Chat and Knowledge Delivery Components of a Low-Level Dialog System- The AZ-ALICE Experiment. Decision Support Systems. 42(4):2236-2246

Conferences

Schumaker, R., Brown, L., Labedz Jr., C. and Jarmoszko, A.T., (2017). Using Financial Analysis Techniques on Twitter Sentiment to Improve NFL Predictions. Discourse Approaches to Financial Communication. July 2017. Lugano, Switzerland

Nail, M., Ugone, C., King, C., Schumaker, R. and Conn, M.E., (2016). Predicting Opening Weekend Box Office Success: Using Social Media Sentiment and YouTube Data. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Lopez, H., Perkins, M., Odin, K., Webb, D. and Schumaker, R., (2016). Prediction from Fanbase Opinions – A Study of the League of Legends Community on Twiiter. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Spillman, J., Bustamante, G., Hopkins, T. and Schumaker, R., (2016). Predicting the Outcomes of the 2016 NCAA March Madness Mens Tournament Brackets – A Study of Fan Twitter Sentiment. 27th Annual Conference of the International Information Management Association. September 2016. Taipei, Taiwan

Labedz Jr., C., Schumaker, R., Jarmoszko, A. T. and Freeman, D., (2015). Two Subsystems of Eleven Elements: System Dynamics and Other Approaches in Modeling Association Football. International Conference of the System Dynamics Society. July 2015. Cambridge, MA

Maida, N. and Schumaker, R., (2015). Press Release Engineering – Leveraging the Power of Press Releases to Manage Stock Price. 26th Annual Conference of the International Information Management Association (IIMA-2015). October 2015. Chattanooga, TN

Fields, A., Shorthouse, A. and Schumaker, R., (2013). Everything has its Price- Privacy Concerns and Rewards for using Mobile Location. 24th Annual Conference of the International Information Management Association (IIMA-2013). October 2013. New Rochelle, NY

Gagnon, J., Gray, S., Khalaf, L. and Schumaker, R., (2013). How Universities can use Social Media as an Information Tool. 24th Annual Conference of the International Information Management Association (IIMA-2013). October 2013. New Rochelle, NY

Schumaker, R., (2011). From Data to Wisdom- The Progression of Computational Learning in Text Mining. 22nd Annual Conference of the International Information Management Association (IIMA-2011). October 2011. New Orleans, LA

Schumaker, R., (2011). Using SVM Regression to Predict Harness Races- A One Year Study on Northfield Park. Midwest Decision Sciences Institute Conference (Midwest DSI). May 2011. Indianapolis, IN

Schumaker, R., (2010). Analyzing Parts of Speech and their Impact on Stock Price. 21st Annual Conference of the International Information Management Association (IIMA-2010). October 2010. Utrecht, Netherlands

Schumaker, R., (2010). An Analysis of Verbs in Financial News Articles and their Impact on Stock Price. NAACL Workshop on Social Media (#Social Media-2010). June 2010. Los Angeles, CA

Schumaker, R., Zhang, Y. and Huang, C., (2009). Sentiment Analysis of Financial News Articles. 20th Annual Conference of the International Information Management Association (IIMA-2009). October 2009. Houston, TX

Schumaker, R., (2009). Analyzing Representational Schemes of Financial News Articles. The Third China Summer Workshop on Information Systems (CSWIM-2009). June 2009. Guangzhou, China

Schumaker, R. and Johnson, J., (2008). An Investigation of SVM Regression to Predict Longshot Greyhound Races. 19th Annual Conference of the International Information Management Association (IIMA-2008). October, 2008. San Diego, CA

Schumaker, R. and Chen, H., (2006). Textual Analysis of Stock Market Prediction Using Financial News Articles. Americas Conference on Information Systems (AMCIS-2006). August 2006. Acapulco, Mexico

McDonald, D., Chen, H. and Schumaker, R., (2005). Transforming Open-Source Documents to Terror Networks- The Arizona TerrorNet. American Association for Artificial Intelligence Conference Spring Symposium (AAAI-2005). March 2005. Stanford, CA

Reid, E., Qin, J., Chung, W., Xu, J., Zhou, Y., Schumaker, R., Sageman, M. and Chen, H., (2004). Terrorism Knowledge Discovery Project- A Knowledge Discovery Approach to Addressing the Threats of Terrorism. IEEE International Conference on Intelligence and Security Informatics (ISI-2004). June 2004. Tucson, AZ

Books

Schumaker, R., Solieman, O. and Chen, H., (2010). Sports Data Mining- Uncovering New Knowledge and Performance Measures. New York- Springer

Book Chapters

Schumaker, R. and Chen, H., (2011). “Predicting Stock Price Movement from Financial News Articles,” in Yap; A., IS for Global Financial Markets, pp 96-128 New York- IGI Global

Schumaker, R. and Chen, H., (2006). “Case Study 17- A Dialog System for Terrorism Resources,” in Chen; H., Intelligence and Security Informatics for International Security- Information Sharing and Data Mining, pp 136-139 New York- Springer

Posters and Demonstrations

Jarmoszko, A. T., Labedz Jr., C. and Schumaker, R., (2016). Toward a Model of Collective Intelligence of Sporting Teams – Examining Data from the 2014 Soccer World Cup. Collective Intelligence, June 2016. New York, NY.

Schumaker, R., Jarmoszko, A. T., Labedz Jr., C. and Freeman, D., (2015). Predicting Premier League Soccer Using a Sentiment Analysis of Twitter. MIT Sloan Sports Analytics Conference, February 2015. Boston, MA.

Schumaker, R., Chen, H., Wang, T. and Wilkerson, J., (2005). Terror Tracker System- A Web Portal for Terrorism Research. Joint Conference on Digital Libraries (JCDL-2005), June 2005. Denver, CO.

Schumaker, R. and Chen, H., (2005). Question Answer TARA- A Terorrism Activity Resource Application. IEEE International Conference on Intelligence and Security Informatics (ISI-2005), May 2005. Atlanta, GA.

Under Review

Schumaker, R., Maida, N., A Descriptive Analysis of Abnormal Stock Price Movement Following Financial News Article Release. Journal of MIS.

Papers In Progress

Labedz Jr., C., Jarmoszko, A. T., Schumaker, R. and Freeman, D., Role of Contingency Analysis in Tactical Team Structure and Competition in Soccer. TBD.

Labedz Jr., C. and Schumaker, R., RXIM: The “Right Eleven” Roster Model of Association Football. International Conference of the System Dynamics Society.

Schumaker, R., Labedz Jr., C. and Jarmoszko, A. T., Factors of Soccer Success – An Analysis of World Cup 2014 Goals. TBD.

Schumaker, R., Veronin, M., Elath, H., Dixit, R. and Mason, D. , Calculating a Severity Score of an Adverse Drug Reaction Using SVR on the FAERS Database. ACM Transactions on Information Systems.

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