Guozhong Dong1,2,*, Jun Gao3, Liang Huang4, Chunlei Shi1
CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 213-225, 2019, DOI:10.32604/cmc.2019.05601
Abstract The rapid spread of microblog messages and sensitivity of unexpected events make microblog become the public opinion center of burst events. Online burst events detection oriented real-time microblog message stream has become an important research problem in the field of microblog public opinion. Because of the large amount of real-time microblog message stream and irregular language of microblog message, it is important to process real-time microblog message stream and detect burst events accurately. In this paper, an online burst events detection framework is proposed. In this framework, abnormal messages are detected based on sliding time window and two-level hash table.… More >
Login
Register
