中文网页作者情感态度倾向性分类研究

Research on Emotion-Attitude-Orientation Classification of Chinese-Web-Page Author

摘要: 探讨了中文网页倾向性分类的原理和实现方法,利用文本自动分类技术结合Web页面中的结构信息,提出了LSI-KNN-Naive Bayes的褒贬分类模型.并在部分网页数据集上,对上述理论进行了实验验证,取得了较好的成效

Abstract: This paper discussed the principle and implement method of appraisive orientable categorization on Chinese s Webpages,and pointed out an appraisive categorization model by combining LSI-KNN-Naive Bayes.Then,carried out a series of experiments in data collect of celebrities Webpages,and acquired preferable effects.