K-Means算法在气象新媒体产品热度上的应用研究

The Application of an Improve K-Means Algorithm in Heat of New Media Products

本文对气象新媒体中受众转发和评论里的关键词进行研究,运用k-means算法将这些关键词进行聚类,获取气象新媒体用户关心的关键词热度,从而为气象新媒体产品研发提供数据支撑。最后通过"川台天气"微博的产品热度分析验证该研究方法的可行性。

Aiming at the key words such as forwarding and commenting on meteorological new media products are studied. The key words such as forwarding and commenting are clustered by using k-means algorithm to obtain the heat of keywords concerned by the users of meteorological new media, thus providing data support for the research and development of meteorological new media products. Finally, the feasibility of the research method is verified by the heat analysis of meteorological new media products of Chuan tai tian qi micro-blog's.