Research on Short Text Classification Algorithm Based on Statistics and Rules

Authors:
Zhou Faguo;Zhang Fan;Yang Bingru;Yu Xingang
Affiliations:
-;-;-;-
Venue:
ISECS '10 Proceedings of the 2010 Third International Symposium on Electronic Commerce and Security
Year:
2010

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Abstract

In this paper, we introduced the overview of short text research and the short text classification firstly. On the foundation of several common used classic text classification algorithms, mainly according to the major feature extraction methods, the short text classification based on statistics and rules is proposed. Experiments show that this algorithm has better performance than other algorithms. In order to improve the recall rate of short text classification, two-steps classification method is put forward.