Abstract
Affective norms for the words is an important issue in textual emotion recognition application. One problem with existing research is that several studies were rated with a large number of participants, making it difficult to apply to different languages. Moreover, difference in culture across different ethnic groups makes the language/culture-specific affective norms not directly translatable to the applications using different languages. To overcome these problems, in this paper, a new approach to semi-automatic labeling of Chinese affective norms for the 1,034 words included in the affective norms for English words (ANEW) is proposed which use a rating of small number of Chinese words from ontology concept clusters with a regression-based approach for transforming the 1,034 English words’ ratings to the corresponding Chinese words’ ratings. The experimental result demonstrated that the proposed approach can be practically implemented and provide adequate results.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Thayer, R.E.: The Biopsychology of Mood and Arousal. Oxford University Press, Oxford (1989)
Mehrabian, A.: Communication Without Words. Psychol. Today 2(4), 53–56 (1968)
Ambady, N., Rosenthal, R.: Thin Slices of Expressive Behavior as Predictors of Interpersonal Consequences: A Meta-Analysis. Psychol. Bull. 111, 256–274 (1992)
Wu, C.H., Yeh, J.F., Chuang, Z.J.: Emotion Perception and Recognition from Speech. In: Affective Information Processing, ch. 6, pp. 93–110 (2009)
Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S.: A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 31, 39–58 (2009)
Wu, C.H., Chuang, Z.J., Lin, Y.C.: Emotion Recognition from Text Using Semantic Labels and Separable Mixture Models. In: ACM Transactions on Asian Language Information Processing, vol. 5, pp. 165–182. ACM, New York (2006)
Wu, C.H., Liang, W.B.: Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels. IEEE Transactions on Affective Computing 2(1), 1–12 (2011)
Yang, C.H., Lin, K.H.Y., Chen, H.H.: Building Emotion Lexicon from Weblog Corpora. In: Proceedings of 45th Annual Meeting of Association for Computational Linguistics, pp. 133–136. Czech Republic, Prague (2007)
Bradley, M.M., Lang, P.J.: Affective Norms for English Words (ANEW): Instruction Manual and Affective Ratings. Technical Report, The Center for Research in Psychophysiology, University of Florida (1999)
Lang, P.J.: Behavioral Treatment and Bio-Behavioral Assessment: Computer Applications: Technology in Mental Health Care Delivery Systems. In: Sidowski, J.B., Johnson, J.H., Williams, T.A. (eds.) pp. 119–137. Ablex Publishing, Norwood (1980)
Redondo, J., Fraga, I., Padrón, I., Comesaña, M.: The Spanish Adaptation of ANEW (Affective Norms for English Words). J. Behavior Research Methods 39, 600–605 (2007)
The Academia Sinica Bilingual Ontological Wordnet (BOW) - Ontology, http://bow.sinica.edu.tw/ont/
Niles, I., Pease, A.: Linking Lexicons and Ontologies: Mapping WordNet to the Suggested Upper Merged Ontology. In: Proceedings of the IEEE Conference on Information and Knowledge Engineering, Las Vegas, Nevada, pp. 412–416 (2003)
Yang, Y.H., Lin, Y.C., Su, Y.F., Chen, H.H.: A Regression approach to Music Emotion Recognition. IEEE Transactions on Audio, Speech and Language Processing 16(2), 448–457 (2008)
Sen, A., Srivastava, M.: Regression Analysis: Theory, Methods, and Applications. Springer, New York (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wei, WL., Wu, CH., Lin, JC. (2011). A Regression Approach to Affective Rating of Chinese Words from ANEW. In: D’Mello, S., Graesser, A., Schuller, B., Martin, JC. (eds) Affective Computing and Intelligent Interaction. ACII 2011. Lecture Notes in Computer Science, vol 6975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24571-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-24571-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24570-1
Online ISBN: 978-3-642-24571-8
eBook Packages: Computer ScienceComputer Science (R0)