This first and pioneering version of the system shows encouraging results for the different tasks performed by the system that concern the detection of relevant like/dislike expressions (substantial agreement with a Fleiss kappa at 0.61), the categorization of the expressions between like and dislike (almost perfect agreement with a Fleiss kappa at 0.84) -polarity assignment -and the identification of the target type (53% of agreement between the reference and the system output).
the system defines relevantAttExpr(usrSentence) == T rue, even if any sentence matching with a relevant pattern has been found in the user's sentence.