web个性化信息采集与管理关键技术研究

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1、第四章WEB个性化信息分析..........................................................................214.1情感倾向识别的传统方法..........................................................................................214.1.1预处理............................................................................

2、...................................224.1.2情感特征选择...................................................................................................224.1.3文档表示...........................................................................................................224.2FST模型....

3、...................................................................................................................224.2.1网络评论的语言学结构..................................................................................234.2.2固定语义词元的识别算法...............................................

4、...............................234.2.3动态更新特征词元..........................................................................................244.3实验及结果分析..........................................................................................................254.3.1实验数据集和测试方法........

5、...........................................................................254.3.2实验结果评测指标...........................................................................................254.3.3分类器........................................................................................

6、.......................254.4结果与分析.................................................................................................................264.5本章小结.....................................................................................................................27第五章WE

7、B个性化信息预测..........................................................................295.1预测用户的搜索行为分析.........................................................................................295.2ARIMA模型................................................................................

8、.................................295.3SVM分类器...