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We present ABSApp, a portable system for weakly-supervised aspect-basedsentiment extraction. The system is interpretable and user friendly and doesnot require labeled training data, hence can be rapidly and cost-effectivelyused across different domains in applied setups. The system flow includes threestages: First, it generates domain-specific aspect and opinion lexicons basedon an unlabeled dataset; second, it enables the user to view and edit thoselexicons (weak supervision); and finally, it enables the user to select anunlabeled target dataset from the same domain, classify it, and generate anaspect-based sentiment report. ABSApp has been successfully used in a number ofreal-life use cases, among them movie review analysis and convention impactanalysis.

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System