基于朴素贝叶斯的渔业文本分类器研究

Fishery text classification based on number of Nave Bayes

通过阐述朴素贝叶斯文本分类器的算法原理及其用于建立渔业文本分类器的优点,给出了基于朴素贝叶斯的渔业文本分类器的基本结构,并用实验验证了该结构的性能。结果表明,基于渔业词库的朴素贝叶斯渔业文本分类器具有比普通文本分类器更好的性能。

The simple and effective Naive Bayes performs well in some fields such as spare and intrusion detection. The algorithm principle of Narve Bayes classifier, and elaborates advantages of using Narve Bayes in the establish-ment of fisheries text classifier were discussed and the basic structure of fisheries text classifier was showed bases on Naive Bayes. The experiments to verify the performances classifier based on fisheries lexicon had better performance of this structure showed the Naive Bayes fisheries text than the usual classifiers.