关键词: 城管案件, 短文本分类, 互邻特征组合, 特征选择, 类别特征域

Abstract: This paper aims to provide effective methods for feature generation and selection so as to automatically categorizing short text of urban management cases reported by smart city management application system. By analyzing the characteristics of the short text, a new adjacent feature combination algorithm is proposed to generate combined features bearing more descriptive power. To further reduce and optimize the feature space, a new membership function to construct a class feature domain for each category in the classification system is presented. Then, the category feature domain is applied to further select both original and combining features to attain optimal feature representation collection with highest significance to classification. The city management application of Qingxiu District of Nanning city is used as an example, experimental results show that the feature generation and selection method proposed in this paper has better performance in short text classification compared to the document frequency, mutual information and information gain and other methods, and the introduction of combined features can significantly improve the performance of the short text classification system.

Key words: urban management cases, short text categorization, adjacent feature combination, feature selection, class feature domain