Papers by Alexandra Vioni
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification (2024.naacl-short)
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Michail Mitsios, Georgios Vamvoukakis, Georgia Maniati, Nikolaos Ellinas, Georgios Dimitriou, Konstantinos Markopoulos, Panos Kakoulidis, Alexandra Vioni, Myrsini Christidou, Junkwang Oh, Gunu Jho, Inchul Hwang, Georgios Vardaxoglou, Aimilios Chalamandaris, Pirros Tsiakoulis, Spyros Raptis
| Challenge: | Emotion detection in textual data is pivotal for developing empathetic human-computer interaction systems. |
| Approach: | They propose a method for categorizing emotions from textual data that acknowledges similarities and distinctions of various emotions. |
| Outcome: | The proposed method preserves high accuracy in emotion prediction and significantly reduces errors in misclassification cases. |