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基于双重多视角表示的目标级隐性情感分类

崔蒙蒙 刘井平 阮彤 宋雨秋 杜渂

计算机工程2024,Vol.50Issue(1):79-90,12.
计算机工程2024,Vol.50Issue(1):79-90,12.DOI:10.19678/j.issn.1000-3428.0066459

基于双重多视角表示的目标级隐性情感分类

Target-Level Implicit Sentiment Classification Based on Dual Multiview Representation

崔蒙蒙 1刘井平 1阮彤 1宋雨秋 1杜渂2

作者信息

  • 1. 华东理工大学信息科学与工程学院,上海 200237
  • 2. 迪爱斯信息技术股份有限公司,上海 200032
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摘要

Abstract

Target-level implicit sentiment classification is a critical sentiment analysis task in natural language processing.Many existing studies mainly focused on modeling context-aware targets,and their modeling information source were relatively single,making it difficult to adequately capture the implicit sentiment of the target in the text.This study proposes a target-level sentiment classification method based on dual multiview representation learning that models the target and text from three information views.Specifically,this study designs a representation learning model from the text,the view of the graph,and the view of external knowledge and exploits a convolutional neural network to deeply integrate the representations of the three views.Moreover,the proposed method learns target-dependent representations from these views.Finally,the semantic representations of the text and the target are combined and fed into the sentiment classifier.The results of experiments conducted on five public datasets and comparative experiments with eight baseline models show that the solution achieves state-of-the-art performance.In particular,the F1m of the proposed model is 1.0%and 2.6%higher than those of previous best models on NewsMTSC-mt and NewsMTSC-rw implicit sentiment analysis datasets,respectively.In addition,the F1m of the proposed model is 3.6%,1.4%,and 1.6%higher than those of the previous best models on Laptop14,Restaurant14,and Twitter explicit emotion analysis datasets,respectively.

关键词

目标级隐性情感分类/自然语言处理/情感分析/双重多视角/表示学习

Key words

target-level implicit sentiment classification/natural language processing/sentiment analysis/dual multiview/representation learning

分类

信息技术与安全科学

引用本文复制引用

崔蒙蒙,刘井平,阮彤,宋雨秋,杜渂..基于双重多视角表示的目标级隐性情感分类[J].计算机工程,2024,50(1):79-90,12.

基金项目

国家重点研发计划(2021YFC2701800,2021YFC2701801) (2021YFC2701800,2021YFC2701801)

上海市促进产业高质量发展专项资金(2021-GZL-RGZN-01018). (2021-GZL-RGZN-01018)

计算机工程

OA北大核心CSTPCD

1000-3428

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