Given the seed set and classification feature set, the combined approach can automatically extract textual patterns with different structures, and avoid the design of textual pattern structures and the design of similarity function among textual patterns. We implement an automated product feature extraction system with the combined approach. Compare to previous study, our system achieves higher precision and better portability.
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