Print Email Facebook Twitter Exploring Automatic Translation between Affect Representation Schemes - Text Content Analysis Title Exploring Automatic Translation between Affect Representation Schemes - Text Content Analysis Author Ilieva, Mira (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Raman, C.A. (mentor) Dudzik, B.J.W. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2023-06-25 Abstract This research delves into the exploration of translation methods between affect representation schemes within the domain of text content analysis. We assess their performance on various affect analysis tasks while concurrently developing a robust evaluation framework. Furthermore, we collect annotated datasets and take into account crucial contextual and individual factors. Ultimately, our goal is to contribute to the advancement of powerful and sophisticated tools for affect analysis. We believe a successful automated translation will aid in achieving a more comprehensive and rounded understanding of affect and further research in different fields, such as psychology and sociology. Subject Affect Representation SchemeTranslationDimensional Representation SchemeCategorical Representation SchemeText Content Analysis To reference this document use: http://resolver.tudelft.nl/uuid:59eea2b8-7e32-47f1-bef4-7d2672d2c2fa Part of collection Student theses Document type bachelor thesis Rights © 2023 Mira Ilieva Files PDF ResearchProject_final.pdf 430.13 KB Close viewer /islandora/object/uuid:59eea2b8-7e32-47f1-bef4-7d2672d2c2fa/datastream/OBJ/view