Abstract
In this report, we present our work on WISE 2013 Challenge Track II to predict the age range of Weibo users. In this challenge, a dataset consisting of Sina Weibo user information was presented. The goal of the challenge is to predict users age range. With personal information and original tweets for over one million users as training data, we analyze and process the dataset, and experiment a series of prediction methods including SVM, decision tree etc. The result shows that ensemble classifiers based on AdaBoost achieves the best prediction results in this challenge.
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© 2013 Springer-Verlag Berlin Heidelberg
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Wang, C., Xiao, B., Li, X., Zhu, J., He, X., Zhang, R. (2013). Predicting Users’ Age Range in Micro-blog Network. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds) Web Information Systems Engineering – WISE 2013. WISE 2013. Lecture Notes in Computer Science, vol 8180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41230-1_46
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DOI: https://doi.org/10.1007/978-3-642-41230-1_46
Publisher Name: Springer, Berlin, Heidelberg
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