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Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most reviews are written in a free-text format, and are therefore difficult for computer systems to understand, analyze, and aggregate. One consequence of this lack of structure is that searching text reviews is often frustrating for users. User experience would be greatly improved if the structure and sentiment conveyed in thedblp:conf/webdb/GanuEM09 fatcat:g77ofpvlfze2jm5lesllrnmlg4