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

Pereg, Oren, Korat, Daniel, Wasserblat, Moshe, Mamou, Jonathan, Dagan, Ido

arXiv.org Artificial Intelligence 

The system is interpretable and user friendly and does not require labeled training data, hence can be rapidly and cost-effectively used across different domains in applied setups. The system flow includes three stages: First, it generates domain-specific aspect and opinion lexicons based on an unlabeled dataset; second, it enables the user to view and edit those lexicons (weak supervision); and finally, it enables the user to select an unlabeled target dataset from the same domain, classify it, and generate an aspect-based sentiment report. ABSApp has been successfully used in a number of real-life use cases, among them movie review analysis and convention impact analysis.

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