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This paper proposes an evaluation method for the performance measurement of an Opinion Mining system, parameterized according to the reviewer's point of view. The work aims to highlight and resolve some issues resulting from previous activities in evaluating the goodness of the results obtained by the analysis of the reviews. The evaluation method is based on a model of Opinion Mining system able to identify and assess the aspects included in a collection of reviews and the weighted importance of such aspects for their authors. A user profiling system will work together with the Opinion Mining system, providing the set of parameters to associate with the aspects and allowing the Opinion Mining system to configure itself according to the user preferences. For the preliminary experiments, a narrower sub-set of Yelp dataset limited to restaurants has been used.

An Evaluation Method for the Performance Measurement of an Opinion Mining System