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Elgazzar to present paper on machine learning

Heba ElgazzarDr. Heba Elgazzar, assistant professor of computer science at MSU, will present a paper on machine learning at the 2020 International Internet of Things (IoT), Electronics and Mechatronics Conference later this month.   

The paper, "Stock Market Prediction using Text-based Machine Learning," was co-authored by Elgazzar and recent MSU computer science graduate Tristan Jordan of Olive Hill. The research aims to design machine learning algorithms to predict changes in stock prices for an unidentified company. The algorithm will use forum posts of users with varying levels of involvement with the company of focus. The proposed algorithm to make these predictions will use a recurrent neural network (RNN) that will be able to analyze patterns in word use and order. It will place reactions to forum posts into a category based upon expected price movement over various lengths of time.  

"I highly appreciate the encouragement and the support for my research activities from the college dean and the associate dean of the School of Engineering and Computer Science," Elgazzar said.  

In addition to being presented at the conference, the paper will also be published in the Institute of Electrical and Electronics Engineers (IEEE) Xplore library.   

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