Sentiment topic models for social emotion mining
We study the problem of social emotion mining of online users in the news domain. Two models are proposed and devised for modeling topics and emotions jointly. The influence of topic numbers on different models is analyzed. The effect of hyperparameter on the proposed models is studied. The samples of social emotion lexicon are investigated qualitatively.
sentiment topic model social emotion mining social emotion lexicon social emotion classification