基于距离信息的面向内隐情感分析的方面-类别-意见-情感四重提取

IF 2 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Information Technology and Control Pub Date : 2023-07-15 DOI:10.5755/j01.itc.52.2.32903

Jianwei Li, Xianyong Li, Yajun Du, Yongquan Fan, Xiaoliang Chen, Dong Huang

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引用次数: 0

摘要

方面-类别-意见-情绪(ACOS)四联体在内隐情绪分析中起着至关重要的作用。考虑到句子中各方面和观点之间的距离，提出了一种包含各方面和观点之间距离信息的距离-提取-分类- acos四重提取方法。与Double-Propagation-ACOS、JET-BERT-ACOS和extract - classifier - acos四重提取模型相比，distance - extract - classifier - acos四重提取模型在Restaurant-ACOS和笔记本电脑- acos数据集上的召回率和F1分数分别提高了2.08% ~ 35.81%和1.47% ~ 36.7%。使用提取的四元组进行隐式情感分析，LSTM、GRU、TextCNN和BERT模型在Restaurant-ACOS和笔记本电脑- acos数据集上的表现明显优于使用原始句子、方面-意见对和方面-类别-意见三元组的模型。

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An Aspect-Category-Opinion-Sentiment Quadruple Extraction with Distance Information for Implicit Sentiment Analysis

The aspect-category-opinion-sentiment (ACOS) quadruples play an essential role in implicit sentiment analysis. Considering the distances between aspects and opinions in sentences, a novel Distance-Extract-Classify-ACOS quadruple extraction method with distance information between aspects and opinions is proposed. Compared with Double-Propagation-ACOS, JET-BERT-ACOS and Extract-Classify-ACOS quadruple extraction models, the recall and F1 scores of the Distance-Extract-Classify-ACOS quadruple extraction model respectively increase by 2.08%-35.81% and 1.47%-36.7% on the Restaurant-ACOS and Laptop-ACOS datasets. Using the extracted quadruples for implicit sentiment analysis, the performance of the LSTM, GRU, TextCNN, and BERT models significantly outperforms these models with original sentences, aspects-opinions pairs, and aspects-categories-opinions triples on Restaurant-ACOS and Laptop-ACOS datasets.

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来源期刊

Information Technology and Control 工程技术-计算机：人工智能

CiteScore

2.70

自引率

9.10%

发文量

审稿时长

12 months

期刊介绍： Periodical journal covers a wide field of computer science and control systems related problems including: -Software and hardware engineering; -Management systems engineering; -Information systems and databases; -Embedded systems; -Physical systems modelling and application; -Computer networks and cloud computing; -Data visualization; -Human-computer interface; -Computer graphics, visual analytics, and multimedia systems.