期刊文献+

利用NLP技术提高科技期刊编辑质量的策略分析

Strategic Analysis of Enhancing the Editing Quality of Scientific Journals by Using NLP Technology
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摘要 人工智能(Artificial Intelligence,AI)技术,尤其是自然语言处理(Nature Language Processing,NLP)工具,在科技期刊出版领域具有重要的应用价值。通过系统性分析,发现NLP技术在自动化稿件初审、审稿意见整合、编辑加工与语言润色等环节中能够有效提升编辑工作的效率和稿件质量。此外,该技术能够促进科技期刊的内容创新与读者互动,通过自动化选题推荐和定制化内容推送,提升了科技期刊的学术价值和市场影响力,并提出了有效利用NLP技术赋能科技期刊编辑和出版全流程的策略。 Artificial Intelligence(AI)technology,particularly the Natural Language Processing(NLP)tool,has im⁃portant application value in the field of scientific journal publishing.Through systematic analysis,it was found that NLP technology can effectively enhance the efficiency of editorial work and the quality of manuscripts in processes such as automated initial manuscript review,the integration of review comments,editorial processing,and language polishing.Additionally,it also expolres this technology can promote content innovation and reader interaction in scientific journals.Through automated topic recommendation and customized content push,the academic value and market influence of scientific journals are significantly enhanced.Furthermore,strategies for effectively utilizing NLP technology to empower the entire editorial and publishing process of scientific journals are proposed.
作者 董贞 DONG Zhen(Journal Editorial Department of Wuhan University of Science and Technology,Wuhan,Hubei Province,430081 China)
出处 《科技资讯》 2024年第15期8-11,共4页 Science & Technology Information
关键词 人工智能 自然语言处理 科技期刊出版 编辑效率 内容创新 读者互动 AI NLP Scientific journal publishing Editorial efficiency Content innovation Reader interaction
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