The state-of-art review of ultra-precision machining using text mining: Identification of main themes and recommendations for the future direction,WIREs Data Mining and Knowledge Discovery

当前位置： X-MOL 学术 › WIREs Data Mining Knowl. Discov. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

The state-of-art review of ultra-precision machining using text mining: Identification of main themes and recommendations for the future direction
WIREs Data Mining and Knowledge Discovery ( IF 6.4 ) Pub Date : 2023-10-15 , DOI: 10.1002/widm.1517
Wai Sze YIP ₁ , Hengzhou Edward Yan _{1,

2} , Baolong Zhang ₁ , Suet To ₁

Affiliation

Ultra-precision machining (UPM), one of the most advanced machining techniques that can produce exact components, significantly impacts the technological community. The significance of UPM attracts the attention of academic and industrial partners. As a result of the rapid development of UPM caused by technological advancement, it is necessary to revisit the current stages and evolution of UPM to sustain and advance this technology. The state of the art in UPM is first investigated systematically in this study by identifying the current four major UPM themes. The UPM thematic network is then built, along with a structural analysis of the network, to determine the interactions between each theme and the primary roles of theme members responsible for the interactions. Furthermore, the “bridge” role is assigned to the specific UPM theme content. On the other hand, Sentiment analysis is conducted to determine how the academic community at UPM feels about the themes for UPM research to focus on those themes with a need for more confidence. Considering the above findings, the future perspective of UPM and suggestions for its advancement are discussed and provided. This study provides a comprehensive understanding and the current state-of-the-art review of UPM technology by a text mining technique to critically analyze its research content, as well as suggestions to enhance UPM development by focusing on its current challenges, thereby assisting academia and institutions in leveraging this technology to benefit society.

中文翻译：

使用文本挖掘对超精密加工进行最新综述：确定主题并为未来方向提出建议

超精密加工 (UPM) 是最先进的加工技术之一，可以生产精确的部件，对技术界产生了重大影响。UPM 的重要性吸引了学术界和工业界合作伙伴的关注。由于技术进步导致芬欧汇川的快速发展，有必要重新审视芬欧汇川目前的阶段和演变，以维持和推进这项技术。本研究首先通过确定当前的四个主要 UPM 主题来系统地研究 UPM 的最新技术。然后建立 UPM 主题网络，并对网络进行结构分析，以确定每个主题之间的相互作用以及负责相互作用的主题成员的主要角色。此外，“桥梁”角色被分配给特定的芬欧汇川主题内容。另一方面，进行情绪分析是为了确定芬欧汇川学术界对主题的看法，以便芬欧汇川研究重点关注那些需要更多信心的主题。考虑到上述发现，讨论并提出了芬欧汇川的未来前景及其发展建议。本研究通过文本挖掘技术对 UPM 技术进行了全面的理解和当前最先进的回顾，批判性地分析了其研究内容，并提出了通过关注其当前挑战来促进 UPM 发展的建议，从而为学术界提供帮助和机构利用这项技术造福社会。

更新日期：2023-10-15

点击分享查看原文

点击收藏

阅读更多本刊新发论文