Method for constructing sentiment classification model based on metaphor identification

Abstract

A method for constructing a sentiment classification model based on metaphor identification is disclosed, including: constructing a metaphor training corpus, and training a first pre-trained language model using the metaphor training corpus to obtain a metaphor recognition model; constructing and inputting a sentiment classification corpus into a second pre-trained language model and the metaphor recognition model to extract an explicit characteristic value and a metaphor information characteristic value of a text in the sentiment classification corpus; combining the explicit characteristic value and the metaphor information characteristic value to obtain a comprehensive characteristic value which is input to a feedforward neural network and a binary classification softmax layer to obtain a sentiment classification result; and performing optimization training based on the sentiment classification result using BP algorithm to obtain an optimal sentiment classification model. Explicit and implicit sentiment expressions are comprehensively considered, and more accurate and credible evaluation results are provided.