Potential and Limitations of Cross-Domain Sentiment Classification
Jan Deriu, Martin F. Weilenmann, Dirk Von Gruenigen, Mark Cieliebak · 2017
In this paper we investigate the crossdomain performance of sentiment analysis systems.For this purpose we train a convolutional neural network (CNN) on data from different domains and evaluate its performance on other domains.Furthermore, we evaluate the usefulness of combining a large amount of different smaller annotated corpora to a large corpus.Our results show that more sophisticated approaches are required to train a system that works equally well on various domains.