Emotion recognition from textual input using an emotional semantic network

Abstract. There are certain correlation between two persons' emotional states in communication, but none of previous work has focused on it. In this paper, a novel conversation database in Chinese was collected and an emotion interaction matrix was proposed to embody the discourse information in conversation. Based on discourse information, an enhanced speech emotion recognition system was presented to improve the recognition accuracy. Some modifications were performed on traditional KNN classification, which could reduce the interruption of noise. Experiment result shows that our system makes 3% -5% relative improvement compared with the traditional method.

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Nonlinear Emotional Prosody Generation and Annotation

Tao

Kang

2006

Chinese Spoken Language Processing

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Emotion recognition from textual input using an emotional semantic network

Cited by 17 publications

References 5 publications

Affective Computing: A Review

Affective Computing: A Review

An Enhanced Speech Emotion Recognition System Based on Discourse Information

Nonlinear Emotional Prosody Generation and Annotation

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