For the experimental setup, we use ten hidden units in our Sentiment-Aspect Extraction RBM (SERBM), where units 0-6 capture aspects, units 7-8 capture sentiment information, and unit 9 stores background information.
we fix hidden units 0-6 to represent the target aspects Food, Staff, Ambience, Price, Ambience, Miscellaneous, and Other Aspects, respectively.