摘要
针对以往敏感词分类优化的不足,提出一种基于模糊遗传算法的敏感词分类优化方法,该方法把模糊逻辑理论用于遗传算法,模拟生物进化过程和机制来求解实际的敏感词定性结构优化问题。研究表明,对于敏感词词性以及结构的变化有很好的分类优化效果,从而保证了整体的分类质量、快速的分类效率、鲁棒和可靠的分类性能。
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.
出处
《计算机应用研究》
CSCD
北大核心
2012年第7期2549-2551,2578,共4页
Application Research of Computers
基金
国家科技重大专项资助项目(2011ZX002-4)
重庆市科委自然科学基金计划面上资助项目
重庆市自然科学基金资助项目(CSTC
2009BB2041)
中央高校基本科研业务费面上资助项目(CDJZR11160006)
关键词
敏感词
遗传算法
模糊逻辑
分类优化
sensitive word
genetic algorithm
fuzzy logic
classification optimization
