作 者: ;
机构地区: 中山大学
出 处: 《情报理论与实践》 2013年第5期104-110,共7页
摘 要: 为了更好地挖掘和利用微博中的信息,设计了基于信号分析方法的微博信息分析系统,并探讨了具体的实现方法。该系统具有微博信息收集、信号辨识、信号解读等功能,系统输出结果具有多方面的应用价值。这一系统被应用到电影票房领域进行实证研究,发现电影相关微博数量与电影票房存在相关性,体现了微博信息的预测作用。此外,通过挖掘微博内容还能够分析网民的关注点和态度变化。研究结果表明,微博信息具有很高的应用价值,本文设计的专用信息分析系统可以有效地对其进行深入挖掘。 In order to discover and utilize the information in the micro-blog better, this paper designs a micro-blog information analysis system based on the signal analysis method, and discusses its concrete implementation method. The system has the func- tions of micro-blog information collection, signal identification and signal interpretation, and the system output has the application value in many fields. The system has been applied in the movie box office field for empirical study. It is discovered that there exists a significant correlation between the number of the related micro-blogs and the movie box office, which reflects the prediction func- tion of the miero-blog informatiorL Furthermore, the concerns and attitude changes of the netizens can be analyzed by mining the content of the micro-blogs. The research results show that the micro-blog information has very high application value, and the spe- cial information analysis system designed by this paper can be used to discover this information effectively and in depth.
分 类 号: [TP393]
领 域: []