提出了一种基于模糊形式概念分析的文本分类模型,通过概念化文本到一个更加抽象的概念形式,以概念而非文本作为训练样本,最终结合近邻分类算法实现文本分类决策。实验结果表明该算法有很好的性能。
In this paper,a text classification model is proposed based on fuzzy formal concept analysis to conceptualize documents into a more abstract form of concepts,and these are used as the training examples. Then KNN classification algorithm is used to achieve the classification of texts. The experimental results indicate superior performance.