%A Xin-le WANG,Wen-feng YANG,Hua-ming LIAO,Yong-qing WANG,Yue LIU,Xiao-ming YU,Xue-qi CHENG %T Topic tag popularity prediction based on multi-dimensional features %0 Journal Article %D 2020 %J JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) %R 10.6040/j.issn.1671-9352.1.2018.136 %P 94-101 %V 55 %N 1 %U {http://lxbwk.njournal.sdu.edu.cn/CN/abstract/article_3213.shtml} %8 2020-01-20 %X

The characteristics of user network structure information and topic tags such as sentiment and regionality are analyzed. A popularity prediction model that considers the user's fan network structure characteristics and the subject tag's own characteristics is proposed. Experiments have proved that the newly proposed feature is effective and has a high reference value for predicting the popularity of future topic tags.