Abstract
Aimed at the serious problem of the microblog platform used in the field of evaluating TV program that is badly affected by spam microblog, this paper proposes a recognition method about combination of lexicon match with SVM based on pattern matching and machine learning. At the same time, considering the impact that spam information caused in the public-opinion-trend and topic-attention-degree, it is important to identify the spam microblog correctly. They are various cleaning modes for different spam information. And the results of experiment shows that the total-recognition-rate has already reached 80 %. This method is useful for the following text mining.
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Yin, F., Wang, X., Wang, Y., Chai, J. (2015). Recognition of Spam Microblog for TV Program Evaluation Under Mircoblog Platform. In: Gong, M., Linqiang, P., Tao, S., Tang, K., Zhang, X. (eds) Bio-Inspired Computing -- Theories and Applications. BIC-TA 2015. Communications in Computer and Information Science, vol 562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49014-3_50
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DOI: https://doi.org/10.1007/978-3-662-49014-3_50
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