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A Logic Programming Approach to Aspect Extraction in Opinion Mining
2013
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
Aspect extraction aims to extract fine-grained opinion targets from opinion texts. Recent work has shown that the syntactical approach performs well. In this paper, we show that Logic Programming, particularly Answer Set Programming (ASP), can be used to elegantly and efficiently implement the key components of syntax based aspect extraction. Specifically, the well known double propagation (DP) method is implemented using 8 ASP rules that naturally model all key ideas in the DP method. Our
doi:10.1109/wi-iat.2013.40
dblp:conf/webi/LiuGLZ13
fatcat:3b2fypb6tbf63d6vzi5pxsk24e