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python文本分类算法

于 2022-03-18 发布 文件大小:1.75 kB
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ptthon关于文本分类的算法,利用分类算法实现对文本的数据挖掘,主要包括: 1. 语料库的构建,主要包括利用爬虫收集Web文档等; 2. 语料库的数据预处理,包括文档建模,如去噪,分词,建立数据字典, 使用词袋模型或主题模型表达文档等; 注:使用主题模型,如LDA可以获得实验加分; 3. 选择分类算法(如朴素贝叶斯、SVM等),训练文本分类器,理解所选 的分类算法的建模原理、实现过程和相关参数的含义; 4. 对测试集的文本进行分类 5. 对测试集的分类结果利用正确率和召回率进行分析评价

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