Topics in their model resemble targets in our work, although topics are represented by hashtags, which exists in 14.6% tweets and 27.5% subjective tweets (Wang et al., 2011).
thanks to the rich discrete features in parameter space, the integrated model does not rely on fine-tuning of word embeddings, which even caused slight overfitting and reduced the performances.