多层文本分类性能评价方法

为了准确评价多层文本分类方法，解决传统平面分类评价指标应用到多层分类中的局限性，在研究基于概念树的多层文本分类方法基础上，有效利用多层结构中类别之间的层次关系和“亲疏”关系，提出了一组能够准确描述多层分类性能的扩展评价指标。利用错误分类样本分布定义了错误分类集中度，在评价分类结果的同时能够指导训练样本的选择过程，使得训练样本更具有代表性。通过中文新闻语料的分类实验，证明了扩展评价指标对于多层分类结果的评价更为准确，错误分类集中度有助于训练出更加准确的分类模型。

Hierarchical text classification and evaluation

To evaluate hierarchical classification methods and resolve the limitations of conventional flat classification measures for hierarchical classification evaluation,after studying the hierarchical classification method based on concept tree,a set of extended measures are put forward to accurately describe its performance,by effectively using the level and affinity among the categories in hierarchical structure.And further a definition of error classification concentration ratio(ECCR) is given based on the di...