A simple yet effective method for summarizing microblogging users with their representative tweets
Shuangyong Song, Yao Meng, Zhiwei Shi, Zhongguang Zheng, Haiqing Chen · 2017
Fast diffusion of information makes microblogging an efficient platform for seeking information, and the most convenient way for a user to get useful information is following others and in real time the updates of the followed users will be presented automatically. Deciding to follow or not to follow a user is usually based on this user's tweet content, because users usually try to find friends who post information relevant to their interests. Since reading through all tweets of a user is very time-consuming, we need to design a convenient user summarization form. In this paper, we design a model for summarizing users with their most representative tweets. The experimental results on Sina-weibo, one of the most popular microblogging sites in China, show our model can get a better performance than baseline methods.