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首页> 外文会议>International Conference on Instrumentation and Measurement, Computer, Communication and Control >The Research of Forwarding Amount Prediction of Sina Microblog Based on Emotion and User Attributes
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The Research of Forwarding Amount Prediction of Sina Microblog Based on Emotion and User Attributes

机译：基于情感和用户属性的新浪微博转发量预测研究

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摘要

With the development of computer network technology, Sina microblogging platform have become the birthplace of the hot spots and important route of transmission. Due to the complexity of the network information, sometimes, it is necessary to control the spread of some of microblogging. The forwarding prediction system can make contribution to build a better microblogging environment. The used dataset obtained via API (Application Programming Interface, which provided by Sina Microblogging) concerning various social levels of users, such as, sites, government, schools, celebrities, etc. We have established a forwarding predictive model based on analyzing the emotional polarity of microblog, combining with user attributes. The model shows that the amount of forwarding is associated with the user's number of fans and the emotional polarity of microblog. The test result shows that the model has a good accuracy.
机译：随着计算机网络技术的发展，新浪微博平台已经成为热点的发源地和重要的传播途径。由于网络信息的复杂性，有时需要控制某些微博的传播。转发预测系统可以为构建更好的微博环境做出贡献。通过API（由新浪微博提供的应用程序编程接口）获得的有关数据集的使用数据集，涉及站点，政府，学校，名人等各个社会层次的用户。我们在分析情感极性的基础上建立了转发预测模型微博，结合用户属性。该模型显示转发量与用户的粉丝数量和微博的情感极性有关。测试结果表明该模型具有良好的准确性。

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