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Full-Text Articles in Physical Sciences and Mathematics
Developing Natural Language Processing Instruments To Study Sociotechnical Systems, Thayer Alshaabi
Developing Natural Language Processing Instruments To Study Sociotechnical Systems, Thayer Alshaabi
Graduate College Dissertations and Theses
Identifying temporal linguistic patterns and tracing social amplification across communities has always been vital to understanding modern sociotechnical systems. Now, well into the age of information technology, the growing digitization of text archives powered by machine learning systems has enabled an enormous number of interdisciplinary studies to examine the coevolution of language and culture. However, most research in that domain investigates formal textual records, such as books and newspapers. In this work, I argue that the study of conversational text derived from social media is just as important. I present four case studies to identify and investigate societal developments in …
Temporal Feature Selection With Symbolic Regression, Christopher Winter Fusting
Temporal Feature Selection With Symbolic Regression, Christopher Winter Fusting
Graduate College Dissertations and Theses
Building and discovering useful features when constructing machine learning models is the central task for the machine learning practitioner. Good features are useful not only in increasing the predictive power of a model but also in illuminating the underlying drivers of a target variable. In this research we propose a novel feature learning technique in which Symbolic regression is endowed with a ``Range Terminal'' that allows it to explore functions of the aggregate of variables over time. We test the Range Terminal on a synthetic data set and a real world data in which we predict seasonal greenness using satellite …