Proceedings:
Exploring Attitude and Affect in Text: Theories and Applications
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Papers from the 2004 AAAI Spring Symposium
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Abstract:
The tagging of discourse is important not only for natural language processing research, but for many applications in the social sciences as well. This paper describes an evaluation of a range of different tagging techniques to automatically determine the attitude of speakers in transcribed psychiatric dialogues. It presents results in a marriage counseling domain that classifies the attitude and emotional commitment of the participants to a particular topic of discussion. It also gives results from the Switchboard Corpus to facilitate comparison for future work. Finally, it describes a new Java tool that learns attitude classifications using our techniques and provides a flexible, easy to use platform for tagging of texts.
Spring
Papers from the 2004 AAAI Spring Symposium