Abstract
The typical emotion classification approach adopts one-step single-label classification using intra-sentence features such as unigrams, bigrams and emotion words. However, single-label classifier with intra-sentence features cannot ensure good performance for short microblogs text which has flexible expressions. Target to this problem, this paper proposes an iterative multi-label emotion classification approach for microblogs by incorporating intra-sentence features, as well as sentence and document contextual information. Based on the prediction of the base classifier with intra-sentence features, the iterative approach updates the prediction by further incorporating both sentence and document contextual information until the classification results converge. Experimental results obtained by three different multi-label classifiers on NLP & CC2013 Chinese microblog emotion classification bakeoff dataset demonstrates the effectiveness of our iterative emotion classification approach.
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
Quan, C., Ren, F.: Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp. 1446–1454 (2009)
Shen, Y., Li, S.: Emotion Mining Research on Micro-blog. In: Proceedings of 1st IEEE Symposium on Web Society, pp. 71–75 (2009)
Ma, C., Osherenko, A., et al.: A Chat System Based on Emotion Estimation from Text and Embodied Conversational Messengers. In: Proceedings of IEEE International Conference on Active Media Technology (2005)
Strapparava, C., Mihalcea, R.: Learning to Identify Emotions in Text. In: Proceedings of 2008 ACM Symposium on Applied Computing, pp. 1556–1560 (2008)
Aman, S., Szpakowicz, S.: Identifying Expressions of Emotion in Text. In: Matoušek, V., Mautner, P. (eds.) TSD 2007. LNCS (LNAI), vol. 4629, pp. 196–205. Springer, Heidelberg (2007)
Pang, L., Li, S., Zhou, G.: Emotion Classification Method of Chinese Micro-blog Based on Emotional Knowledge. Computer Engineering 38(13), 156–158 (2012)
Pak, A., Paroubek, P.: Twitter as a Corpus for Emotion Analysis and Opinion Mining. In: Proceedings of Language Resources and Evaluation Conference, pp. 1320–1326 (2010)
Zhang, J., Zhu, B., et al.: Recognition and Classification of Emotions in the Chinese Microblog based on Emotional Factor. Journal of Peking University 50(1), 79–84 (2014)
He, F., He, Y., et al.: A Microblog Short Text Oriented Multi-class Feature Extraction Method of Fine-Grained Emotion Analysis. Journal of Peking University 50(1), 48–54 (2014)
Ouyang, C., Yang, X., Lei, L., et al.: Multi-strategy Approach for Fine-grained Emotion Analysis of Chinese Micro-blog. Journal of Peking University 50(1), 67–72 (2014)
Liu, Z., Liu, L.: Empirical Study of Emotion Classification for Chinese Microblog based on Machine Learning. Computer Engineering and Applications 48(1), 1–4 (2012)
Lin, J., Yang, A., Zhou, Y.: Classification of Microblog Emotion Based on Naïve Bayesian. Computer Engineering and Science 34(9), 160–165 (2012)
Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining Multi-label Data. In: Data Mining and Knowledge Discovery Handbook, pp. 667–685. Springer (2010)
Ghamrawi, N., McCallum, A.: Collective Multi-label Classification. In: Proceedings of the 2005 ACM Conference on Information and Knowledge Management, pp. 195–200 (2005)
Hullermeier, E., Furnkranz, J., Cheng, W., et al.: Label Ranking by Learning Pairwise Preferences. Artificial Intelligence 172(16), 1897–1916 (2008)
Trohidis, K., Tsoumakas, G., Kalliris, G., et al.: Multilabel Classification of Music into Emotions. In: Proceedings of 2008 International Conference on Music Information Retrieval, pp. 325–330 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Xu, R., Wang, Z., Xu, J., Chen, J., Lu, Q., Wong, KF. (2015). An Iterative Emotion Classification Approach for Microblogs. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2015. Lecture Notes in Computer Science(), vol 9042. Springer, Cham. https://doi.org/10.1007/978-3-319-18117-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-18117-2_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18116-5
Online ISBN: 978-3-319-18117-2
eBook Packages: Computer ScienceComputer Science (R0)