一种基于改进的博客观点检索算法研究  

STUDY ON AN IMPROVED VIEWPOINT RETRIEVAL ALGORITHM BASED ON BLOG

作　　者：王富荣[1] 张宏[2] 

机构地区：[1]南通航运职业技术学院江苏南通226010 [2]南京理工大学计算机科学与技术学院江苏南京210094

出　　处：《计算机应用与软件》2013年第9期131-133,136,共4页Computer Applications and Software

基　　金：江苏省交通科学研究计划项目(2011Y21-3)

摘　　要：近年来博客逐渐成为一种新的主流媒体及网络形式,已成为人们获取信息的重要渠道。通过分析博客的相关功能,提出一种基于博客的观点检索方法,并且设计了一种基于负规则的极性检测算法,以提高极性检测部分的性能。通过相关实验数据验证,结果证明了提出的方法的有效性,该改进算法能够显著提高系统的MAP值。In recent years, blogs have gradually become a new form of mainstream media and networks, as well as become an important channel of accessing to information. By analysing the relative features of the blog, we propose a blog-based viewpoint retrieval method, and design a negative rule=based polarity detection algorithm for improving the performance of the polarity detection part of the method. The method proposed in the paper has been verified through＇ correlated experimental data, and the results prove the validity of it; this improved algorithm can＇ remarkably raise the MAP values of the system.

关 键 词：观点检索 博客 文本极性 负规则 数学模型 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]