网络群体心理趋势智能分析模型研究

Psychological Analysis of Trends Intelligent Network Model

网络群体是随着互联网网民的飞速膨胀而出现的虚拟聚集但真实存在的群体现象。由于互联网的隐秘性、自由性,使得网络群体能针对某一事物现象更真实地表述自己的观点。网络群体心理趋势分析是综合心理学、云计算、信息检索、自然语言处理、统计学等多学科理论和方法设计的智能模型。构建了以程序流为核心的网络群体心理趋势智能分析模型架构,突破了数据流方案,解决了云计算软件技术模式瓶颈。进一步研究了智能分析模型架构中核心模块的设计与实现,并以大学生网络群体的3万篇文本来检验该模型。结果表明,该模型能高效地实现网络群体心理趋势特征分析,能通过云图及结构方程模型给用户一个真实的感受。

Network groups are a virtual gathering but real group phenomenon with the rapid expansion of Internet users. Because of the Internet privacy and freedom, the Internet community can more really represent their own point of view aiming at a thing phenomenon. Psychological Trends Network is a comprehensive psychology, cloud computing, information retrieval, natural language processing, statistical theory and methods such as multi-disciplinary design of the intelligent model. Constructed the program flow at the core of the network group model of intelligent analysis of psychological trend in architecture, breaking the data stream programs to address the cloud computing model software bottleneck. Further researched the design and realization of the core module in intelligent analysis model structure. And the college students Internet Group＇s 30000 texts were used to test the model, the test showed that the model can efficiently realize the psychological trend of population characteristics of the network, give the user a real feelings through the cloud and the structural equation model.