A semi-supervised topic model incorporating sentiment and dynamic characteristic

@article{Zhang2016AST,
  title={A semi-supervised topic model incorporating sentiment and dynamic characteristic},
  author={Lanshan Zhang and Xi Ding and Ye Tian and Xiangyang Gong and Wendong Wang},
  journal={China Communications},
  year={2016},
  volume={13},
  pages={162-175}
}
With the rapid popularization of social applications, various kinds of social media have developed into an important platform for publishing information and expressing opinion. Detecting hidden topics from the huge amount of user-generated contents is of great commerce value and social significance. However traditional text analysis approaches only focus on the statistical correlation between words, but ignore the sentiment tendency and the temporal properties which may have great effects on… CONTINUE READING