Exploring Automatic Translation between Affect Representation Schemes - Text Content Analysis

Bachelor Thesis (2023)
Author(s)

M.H. Ilieva (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

C.A. Raman – Mentor (TU Delft - Pattern Recognition and Bioinformatics)

B.J.W. Dudzik – Graduation committee member (TU Delft - Pattern Recognition and Bioinformatics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Mira Ilieva
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Mira Ilieva
Graduation Date
25-06-2023
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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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.

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