SA-Model:Multi-Feature Fusion Poetic Sentiment Analysis Based on a Hybrid Word Vector Model  

作　　者：Lingli Zhang Yadong Wu Qikai Chu Pan Li Guijuan Wang Weihan Zhang Yu Qiu Yi Li 

机构地区：[1]School of Computer Science and Engineering,Sichuan University of Science and Engineering,Zigong,643000,China [2]School of Automation and Information Engineering,Sichuan University of Science and Engineering,Zigong,643000,China [3]School of Computer Science and Technology,Southwest University of Science and Technology,Mianyang,621000,China [4]School of Information Engineering,Southwest University of Science and Technology,Mianyang,621000,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第10期631-645,共15页工程与科学中的计算机建模（英文）

摘　　要：Sentiment analysis in Chinese classical poetry has become a prominent topic in historical and cultural tracing,ancient literature research,etc.However,the existing research on sentiment analysis is relatively small.It does not effectively solve the problems such as the weak feature extraction ability of poetry text,which leads to the low performance of the model on sentiment analysis for Chinese classical poetry.In this research,we offer the SA-Model,a poetic sentiment analysis model.SA-Model firstly extracts text vector information and fuses it through Bidirectional encoder representation from transformers-Whole word masking-extension(BERT-wwmext)and Enhanced representation through knowledge integration(ERNIE)to enrich text vector information;Secondly,it incorporates numerous encoders to remove text features at multiple levels,thereby increasing text feature information,improving text semantics accuracy,and enhancing the model’s learning and generalization capabilities;finally,multi-feature fusion poetry sentiment analysis model is constructed.The feasibility and accuracy of the model are validated through the ancient poetry sentiment corpus.Compared with other baseline models,the experimental findings indicate that SA-Model may increase the accuracy of text semantics and hence improve the capability of poetry sentiment analysis.

关 键 词：Sentiment analysis Chinese classical poetry natural language processing BERT-wwm-ext ERNIE multi-feature fusion 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]