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- W2389502344 abstract "Metaphor is a natural phenomenon of the universal language.In the process of affective computing,the feelings of some sentences are aroused by the metaphor.Therefore,sentimental metaphor will affect the outcome of affective computing.Based on the theory of metaphor,from the perspective of machine learning,dominant metaphor identification of Chinese text is studied.The difference of areas between target domain and source domain is regarded as breakthrough point.Firstly,target domain and source domain are got using part of speech tagging and the interdependence parsing analysis;then,areas classifying and word similarity calculation are given;lastly,support vector machine is used so as to identify metaphor of sentence.This study will play a certain role in the automatic identification of metaphor and metaphorical understanding." @default.
- W2389502344 created "2016-06-24" @default.
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- W2389502344 date "2012-01-01" @default.
- W2389502344 modified "2023-09-23" @default.
- W2389502344 title "Mechanism of dominant sentimental metaphor identification based on lexical domain and semantic similarity" @default.
- W2389502344 hasPublicationYear "2012" @default.
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