Abstract
In this paper, we present a new challenging task for emotion analysis called emotion cause extraction. In this task, we do not need to identify the emotion category or emotion component of text. We focus on the emotion cause, a.k.a the reason or stimulant of an emotion. Since there is no open dataset available, the lack of annotated resources has limited the research in this area. Thus, we first built an annotated dataset for this task using SINA city news which follows the scheme of W3C Emotion Markup Language. We then present an emotion cause detection method using event extraction where a one-hot representation method is using to represent events in text. Because traditional event representation method does not consider the emotion category caused by the event, we modified the definition of event with a more reasonable improvement. Even with a limited training set, we can still extract sufficient features for analysis. Evaluations show that our approach achieves 7.68 % higher F-measure than other reported methods. The contributions of our work include both resources and algorithm development.
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Chen, Y., Lee, S.Y.M., Li, S., Huang, C.R.: Emotion cause detection with linguistic constructions. In: Proceedings of COLING, pp. 179–187, August 2010
Chang, Y.C., Chen, C.C., Hsieh, Y.L., Hsu, W.L.: Linguistic template extraction for recognizing reader-emotion and emotional resonance writing assistance. In: Proceedings of ACL-IJCNLP, pp. 775–780 (2015)
Das, D., Bandyopadhyay, S.: Finding emotion holder from bengali blog texts—an unsupervised syntactic approach. In: Proceedings of PACLIC, pp. 621–628 (2010)
Ekman, P.: Expression and the Nature of Emotion (1984)
Gao, K., Xu, H., Wang, J.: A rule-based approach to emotion cause detection for chinese micro-blogs. Expert Syst. Appl. 42(9), 4517–4528 (2015)
Gui, L., Yuan, L., Xu, R., Liu, B., Lu, Q., Zhou, Y.: Emotion cause detection with linguistic construction in chinese weibo text. In: Proceedings of NLPCC (2014)
Ghazi, D., Inkpen, D., Szpakowicz, S.: Detecting emotion stimuli in emotion-bearing sentences. In: Gelbukh, A. (ed.). LNCS, vol. 9042, pp. 152–165. Springer, Heidelberg (2015)
Gao, W., Li, S., Lee, S.Y.M., Zhou, G., Huang, C. R.: Joint learning on sentiment and emotion classification. In: Proceedings of CIKM, pp. 1505–1508. ACM, October 2013
Lee, S.Y.M., Chen, Y., Huang, C.R.: A text-driven rule-based system for emotion cause eetection. In: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 45–53, June 2010
Li, W., Xu, H.: Text-based emotion classification using emotion cause extraction. Expert Syst. Appl. 41(4), 1742–1749 (2014)
Liu, H., Li, S., Zhou, G., Huang, C.R., Li, P.: Joint modeling of news reader’s and comment writer’s emotions. In: Proceedings of ACL (2), pp. 511–515, August 2013
Li, S., Huang, L., Wang, R., Zhou, G.: Sentence-level emotion classification with label and context dependence. In: Proceedings of ACL, pp. 1045–1053 (2013)
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Proceedings of NIPS, pp. 3111–3119 (2013)
Plutchik, R.: Emotions: A Psychoevolutionary Synthesis. Harper & Row, New York (1980)
Quan, C., Ren, F.: Construction of a blog emotion corpus for chinese emotional expression analysis. In: Proceedings of EMNLP, pp. 1446–1454, August 2009
Radinsky, K., Davidovich, S., Markovitch, S.: Learning to predict from textual data. J. Artif. Intell. Res. 45(1), 641–684 (2012)
Russo, I., Caselli, T., Rubino, F., Boldrini, E., Martínez-Barco, P.: Emocause: an Easy-adaptable Approach to Emotion Cause Contexts, pp. 153–160. Investigación (2011)
Turner, J.H.: On the Origins of Human Emotions: A Sociological Inquiry into the Evolution of Human Affect. Stanford University Press, California (2000)
Xu, R., Zou, C., Zheng, Y.: A new emotion dictionary based on the distinguish of emotion expression and emotion cognition. J. Chin. Inf. Process. 27(6), 82–89 (2013)
Xu, L., Lin, H., Pan, Y., Ren, H., Chen, J.: Constructing the affective lexicon ontology. J. China Soc. Sci. Tech. Inf. 27(2), 180–185 (2008)
Xu, J., Xu, R., Lu, Q., Wang, X.: Coarse-to-fine Sentence-level emotion classification based on the intra-sentence features and sentential context. In: Proceedings of CIKM, pp. 2455–2458, October 2012
Acknowledgment
This work was supported by the National Natural Science Foundation of China 61370165, 61632011, National 863 Program of China 2015AA015405, Shenzhen Peacock Plan Research Grant KQCX20140521144507925 and Shenzhen Foundational Research Funding JCYJ20150625142543470, Guangdong Provincial Engineering Technology Research Center for Data Science 2016KF09.
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Gui, L., Xu, R., Lu, Q., Wu, D., Zhou, Y. (2016). Emotion Cause Extraction, A Challenging Task with Corpus Construction. In: Li, Y., Xiang, G., Lin, H., Wang, M. (eds) Social Media Processing. SMP 2016. Communications in Computer and Information Science, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-2993-6_8
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