Dictionary-Based Problem Phrase Extraction from User Reviews
This paper describes a system for problem phrase extraction from texts that contain users’ reviews of products. In contrast to recent works, this system is based on dictionaries and heuristics, not a machine learning algorithms. We explored two approaches to dictionary construction: manual and automatic. We evaluated the system on a dataset constructed using Amazon Mechanical Turk. Performance values are compared to a machine learning baseline.
Keywordsnatural language processing information extraction
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