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Text classification based on Ant Colony Optimization

机译:基于蚁群优化的文本分类

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摘要

A new text classification algorithm which is based on Ant Colony Algorithm is proposed in this paper. It makes use of the advantage in solving discrete problems by ACO and discreteness of text documents' features. Texts are classified by crawling of class population ants which have class information with them to find an optimal path matching it during iteration in the algorithm. It can get a satisfactory classification by the experiment.
机译:本文提出了一种基于蚁群算法的新文本分类算法。它利用了通过ACO解决离散问题的优势和文本文本文件的特征。文本通过爬网划分的群体蚂蚁来分类,该蚂蚁与他们有类信息,以在算法中找到迭代期间匹配它的最佳路径。它可以通过实验获得令人满意的分类。

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