Aspect extraction and sentiment analysis of reviews are both important tasks in opinion mining. We propose a novel sentiment and aspect extraction model based on Restricted Boltzmann Machines to jointly address these two tasks in an unsupervised setting. This model reflects the generation process of reviews by introducing a heterogeneous structure into the hidden layer and incorporating informative priors. Experiments show that our model outperforms previous state-of-the-art methods.
For instance, REF employed a restricted Boltzmann machine model to jointly address the problem of sentiment-aspect extraction.
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines
ACL
Computer Science