Research on the Hidden Markov Model in Hot Topics of the Internet
Zhengqin Xu, Zhao Wendong, Aijing Li, Peng Laixian · 2018
With the rapid development of the Internet, the amount of network data was exponentially increased and based on a dynamic society the network at any time will produce many hot topics. According to the requirements of the Hidden Markov Model, the paper provided and modeled a general framework based on the statistical modeling of HMM for solving the problem of hot topics on networks, then assessed the probability of a network theme to be a hot topic. Experiments show that the framework is superior to the traditional algorithm of network hot topics discovery considering the convergence speed and accuracy.