Abstract
With the increased online public opinion data of real accidents in the last ten years. It has been important for us to attain and analysis the online public opinion data of real accidents. In this paper, an empirical study of online public opinion index prediction over more than 30 real accidents happened in China and other places in the world has been made and experiments results has proved that the online public opinion index prediction method is useful and we got some interesting results. And we have implemented GM (1, 1) model, GM (2, 1) model and chaotic prediction model based prediction method in online opinion for the first time.
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Acknowledgement
Thanks to the support of National Natural Science Foundation of China (NNSF) (Grants No. 90924029), National Culture Support Foundation Project of China (2013BAH43F01), and National 973 Program Foundation Project of China (2013CB329600), (2013CB329606).
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Deng, X.L., Li, Y.X. (2014). Empirical Study of Online Public Opinion Index Prediction on Real Accidents Data. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_7
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DOI: https://doi.org/10.1007/978-3-319-11538-2_7
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