[Objective] This study aims to build an evaluation analysis intelligent system consisting of evaluation sentences recognition, polarity identification and evaluation objects extraction. [Methods] We first researched Chinese evaluation Ontology. Then, established an evaluation analysis rule base based on the results of Ontology research. Finally, programmed into evaluation analysis intelligent system CUCsas. [Results] Taking 50,000 weibo messages (a total of 133,201 sentences) released by the 7th Chinese Opinion Analysis Evaluation Conference (COAE2015) as the experimental data, the precision, recall and F rates of evaluation sentences recognition and polarity identification of CUCsas were 0.83, 0.70 and 0.76 respectively, but the experimental result of evaluation objects extraction was poor. [Limitations] The system was short of new evaluation factors discovery and domain lexicons automatic construction modules. [Conclusions] A practical evaluation analysis intelligent system was basically built.
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