Application of fuzzy genetic algorithm in sensitive wordclassification optimization
模糊遗传算法在敏感词分类优化中的应用

In allusion to the shortcoming existed in previous sensitive words classification optimization, this paper proposed an optimization method which put the classification on the basis of fuzzy genetic algorithm. The method applied fuzzy logic theory to genetic algorithm, simulated the process and mechanism of biological evolution to figure out the actual problem of sensitive word qualitative structure optimization. Studies show that the method has a good effect on optimization classification for the change of part-of-speech and structure of sensitive words, thereby it ensures a holistic classification quality, rapid classification efficiency, robust and reliable classification performance.