Abstract：Aiming at inefficiency and heavy workloads of college curriculum evaluation methods, a multi-aspect sentiment attention modeling(multi-ASAM) is proposed. Multi-ASAM concatenates a sentence and various aspects of the sentence by neural networks and adds emotional resources attention. To achieve better classification results, influence of relationships between aspects on emotinal polarity and contribution of emotional resources to emotional polarity is taken into auount in multi-ASAM. Experimental results show that Multi-ASAM is improved compared with other methods in the application of education and other fields.
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2019, Vol. 32 
