DEFENCE OF THE DOCTORAL DISSERTATION BY ERIK NOVAK
Using machine learning methods for analyzing sequential textual data
Using machine learning methods for analyzing sequential textual data
IPS invites you to the Defence of the Doctoral Dissertation by Erik Novak titled: Using machine learning methods for analyzing sequential textual data. The defence will take place on Tuesday, 29 October 2024, at 11:00 a.m. at the IPS Lecture Room, Jamova 39, 1000 Ljubljana. You can also join the defence via the following link: https://us02web.zoom.us/j/81967643817?pwd=WNrvN3px7fcOYhOXBmUd1KlVQpd1ix.1, Meeting ID: 819 6764 3817, Passcode: 938791.
Short summary:
The thesis explores machine learning methods for analyzing sequential textual data, such as sentences following grammar rules, news reporting events over time, and text relating to the financial markets. It presents new methods for sentence similarity, a novel news collection creation approach, a new news clustering algorithm, and explores ways of including text information in time series forecasting models.
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