Abstract
Environmental incidents affect the stable development of economy and society. If environmental incidents can be detected timely through microblog, it will be possible to reduce risk factors and improve social stability. Microblog has now become an important platform for generating and propagating incidents on the Web, it is an ideal field to detect incidents. However, since the texts of microblog messages are very short and unstructured, it is a challenging task to detect incidents from microblogs. Due to the diversity of Chinese microblogs, the results identified by Dynamic Query Expansion (DQE) always contain a considerable number of unrelated events. This paper proposes to filter microblogs by calculating emotion values via Sentiment Analysis (SA), thus to improve the accuracy of detection. Experimental results demonstrated that DQE + SA can be more accurate and effective to detect environmental incidents.
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References
Abdelhaq, H., Sengstock, C., Gertz, M.: Eventweet: Online localized event detection from twitter. Proc. VLDB Endowment 6(12), 1326–1329 (2013)
Akcora, C.G., Bayir, M.A., Demirbas, M., Ferhatosmanoglu, H.: Identifying breakpoints in public opinion. In: Proceedings of the First Workshop on Social Media Analytics. pp. 62–66. ACM (2010)
Becker, H., Naaman, M., Gravano, L.: Beyond trending topics: Real-world event identification on twitter. ICWSM 11, 438–441 (2011)
Bhowmick, P.K., Basu, A., Mitra, P.: Classifying emotion in news sentences: when machine classification meets human classification. Int. J. Comput. Sci. Eng. 2(1), 98–108 (2010)
Che, W., Li, Z., Liu, T.: LTP: a chinese language technology platform. In: Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations. pp. 13–16. Association for Computational Linguistics (2010)
Acknowledgements
The authors gratefully acknowledges the generous support from National High-tech R&D Program of China (2013AA01A606), National Basic Research Program of China (2014CB744600), and Key Research Program of Chinese Academy of Sciences (CAS) (KJZD-EWL04).
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Zhou, Y., Lu, T., Zhu, T., Chen, Z. (2016). Environmental Incidents Detection from Chinese Microblog Based on Sentiment Analysis. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_88
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DOI: https://doi.org/10.1007/978-3-319-31854-7_88
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