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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 better tap and use the information in the Weibo, we design a Weibo information analysis system based on the signal analysis method and discuss the concrete realization method. The system has functions such as the collection of microblog information, signal identification, signal interpretation, etc. The system output has many application values. The system was applied to the field of film box office for empirical research and found that there was a correlation between the number of movie-related microblogging and the movie box office, which reflected the prediction of Weibo information. In addition, through mining the contents of microblogging can also analyze the concerns and attitudes of Internet users. The research results show that weibo information has a high value of application. The dedicated information analysis system designed in this paper can effectively mine it.