Exploiting Feature Selection Algorithm on Group Events Data Based on News Data
Zhibo Wang, Kuai Hu, Luyao Chen, Haikun Du, Shaowen Wang, Zihan Wang, Xiaohui Cui · 2015
As traditional media and new media such as Weibo and WeChat are increasingly used, Internet has become the main supporter of thoughts of groups or individuals, which plays a key role in guidance of our daily life and society development. This study aims to investigate/propose a note feature extraction algorithm of data processing in massive news data, extracting the key words in the news and clarifying the important ones. We try to propose a revised STF algorithm and have comparisons between efficiency of various algorithms. Experiments showed that the proposed algorithm is 4% higher on the classification accuracy than other algorithms.