Aspect Sentiment Model for Micro Reviews
(a) Yelp Restaurants and Shopping datasets
['Dataset', 'JST', 'ASUM', 'JAST', 'MicroASM']
On all datasets, MicroASM outperforms all the other aspect sentiment models. Moreover, JST performs the worst among all the aspect sentiment models on all datasets. Interestingly, the overall results of all the models on the Naver datasets are comparatively lower than the results on the Yelp datasets. Although we can optimize for better accuracy by providing better hand-crafted seed lists and better performing tokenizers instead of machine-translated seed lists and off-the-shelf Korean tokenizers, the goal of this evaluation is to show how straightforward it is to extend to other domains and languages: MicroASM still performs the best despite problems on the Korean dataset.