用方面融合和甘伯特辅助对抗学习的消费者情绪分析

IF 3 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems Pub Date : 2025-05-05 DOI:10.1111/exsy.70048

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引用次数: 0

摘要

撤稿：P. K. Jain， W. Quamer和R. Pamula，“基于方面融合和GAN-BERT辅助对抗学习的消费者情绪分析”，《专家系统》，第40期。4 (2023): e13247, https://doi.org/10.1111/exsy.13247。上述文章于2023年2月14日在线发表在Wiley在线图书馆（wileyonlinelibrary.com）上，经期刊主编David Camacho；约翰·威利&；子有限公司这篇文章是作为嘉宾编辑的特刊的一部分提交的。实验和分析不能充分支持研究目标。因此，这份手稿的结论被认为是不可靠的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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RETRACTION: Consumer Sentiment Analysis With Aspect Fusion and GAN-BERT Aided Adversarial Learning

RETRACTION: P. K. Jain, W. Quamer, and R. Pamula, “ Consumer Sentiment Analysis With Aspect Fusion and GAN-BERT Aided Adversarial Learning,” Expert Systems 40, no. 4 (2023): e13247, https://doi.org/10.1111/exsy.13247.

The above article, published online on 14 February 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Experiments and analysis do not support the research objectives sufficiently. Accordingly, the conclusions of this manuscript are considered unreliable.

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来源期刊

Expert Systems 工程技术-计算机：理论方法

CiteScore

7.40

自引率

6.10%

发文量

266

审稿时长

24 months

期刊介绍： Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.