Bibliography | Nguyen, Hai Dang: Multitask classification across psychological models of emotion and affect. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Bachelor Thesis No. 48 (2020). 35 pages, english.
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Abstract | The classification of emotions from text is usually done on basis of a single psychological model of emotion and affect with a singletask classifier. The goal of this bachelor thesis is to evaluate the merit of multitask learning across emotion models. Here, a multitask approach is taken, where multiple data sets, each annotated on basis of a different psychological model, are trained in a multiheaded neural network. Comparing the F1-score / mean-squared-error of the multitask classifiers to the singletask classifiers show no improvement.
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Full text and other links | Volltext
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Department(s) | University of Stuttgart, Institute for Natural Language Processing
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Superviser(s) | Pado, Prof. Sebastian; Klinger, Dr. Roman |
Entry date | December 17, 2020 |
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