信息资源管理学报 ›› 2020, Vol. 10 ›› Issue (1): 111-.doi: 10.13365/j.jirm.2020.01.111

• 会议综述 • 上一篇    下一篇

全文本计量分析理论与技术的新进展与新探索——2019全文本文献计量分析学术沙龙综述

报告人: 章成志1 胡志刚2 徐硕3 汪雪锋4 师庆辉5 王巍6     综述整理:钱佳佳  罗卓然   

  1. 1.南京理工大学经济管理学院,南京,2100942.大连理工大学科学学与科技管理研究所,大连,116024

    3.北京工业大学经济与管理学院,北京,1001244.北京理工大学管理与经济学院,北京,100081

    5.同方知网(北京)技术有限公司,北京,100084 6.励德爱思唯尔信息技术(北京)有限公司,北京,100738

  • 收稿日期:2019-11-17 出版日期:2020-01-26 发布日期:2020-01-26

New Progress and Exploration of Full-text Bibliometric Analysis Theory and Technology——A Review of the 2019 Academic Salon on Full-text Bibliometric Analysis

Speaker: Zhang Chengzhi1 Hu Zhigang2 Xu Shuo3 Wang Xuefeng4 Shi Qinghui5 Wang Wei6    Summary: Qian Jiajia  Luo Zhuoran   

  1. 1.School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094;

    2.Institute of Science of Science and Science & Technology ManagementDalian University of Technology Dalian 116024

    3. College of Economics and Management,Beijing University of Technology, Beijing 100124;

    4. School of Management and Economics, Beijing Institute of Technology,Beijing 100081

    5. Tongfang Knowledge Network Technology Co., Ltd., Beijing 100084; 6. Reed Elsevier Information Technology (Beijing) Co., Ltd., Beijing 100738

  • Received:2019-11-17 Online:2020-01-26 Published:2020-01-26

摘要:

2019111012日于成都召开的“2019科学计量与科技评价天府国际论坛”上,由章成志等人发起的第二届“全文本文献计量分析”学术沙龙,吸引了百余位专家学者的参与和交流,给参会者留下了深刻的印象。本文通过对沙龙嘉宾的发言和讨论内容进行梳理与总结,将沙龙的主要内容归纳为基于引用行为的学术评价体系、全文本的实体抽取、学术文本关键词自动抽取、新兴研究话题和新兴技术预测、以及全文本数据开放、构建与应用等五个主题,以期揭示国内外全文本文献计量分析在理论与技术方面的最新进展以及发展趋势。

关键词:

全文本文献计量, 引用行为, 情感分析, 关键词抽取, 实体抽取, 新兴话题预测, 数据开放

Abstract: The 2019 Tianfu International Forum of Scientometrics and Evaluation was held in Chengdu on November 10-12, as an important part of the forum, the second "Full-text Bibliometric Analysis" academic salon initiated by Zhang Chengzhi and others has attracted and impressed more than 100 experts and participants. This paper summarized the speeches and discussion of the salon and devided the contents into five themes in order to reveal the latest developments and trends in the theory and technology of full-text bibliometrics analysis at home and abroad. Themes of the salon include academic evaluation system based on citation behavior, entity extraction of full-text, automatic extraction of academic text keywords, emerging research topics and technology predictions, and the access, construction and application of the full-text data.

Key words:

Full-text, Bibliometrics, Citation behavior, Sentiment analysis, Keyword extraction, Entity extraction, Prediction of emerging research topics, Data open

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