图书情报工作 ›› 2018, Vol. 62 ›› Issue (18): 102-109.DOI: 10.13266/j.issn.0252-3116.2018.18.011

• 情报研究 • 上一篇    下一篇

基于加权关键词的领域热点与趋势分析新方法

奉国和1, 孔泳欣2, 肖洁琼1   

  1. 1. 华南师范大学经济与管理学院信息管理系 广州 510006;
    2. 南开大学商学院信息资源管理系 天津 300071
  • 收稿日期:2018-01-02 修回日期:2018-06-28 出版日期:2018-09-20 发布日期:2018-09-20
  • 作者简介:奉国和(ORCID:0000-0002-0774-1544),教授,博士,E-mail:ghfeng@163.com;孔泳欣(ORCID:0000-0003-3653-2415),硕士研究生;肖洁琼(ORCID:0000-0001-5783-2893),硕士研究生。
  • 基金资助:
    本文系国家社会科学基金项目"基于文本挖掘的科技文献知识发现研究"(项目编号:16BTQ071)研究成果之一。

A New Model for Hotspot and Trend Analysis Based on Weighted Keywords

Feng Guohe1, Kong Yongxin2, Xiao Jieqiong1   

  1. 1. The Department of Information Management, School of Economics & Management, South China Normal University, Guangzhou 510006;
    2. Department of Information Resources Management, Business School, Nankai University, Tianjin 300071
  • Received:2018-01-02 Revised:2018-06-28 Online:2018-09-20 Published:2018-09-20

摘要: [目的/意义]为克服关键词绝对词频分析的局限性,以关键词多因素加权及得分排名实现领域热点与趋势探索。[方法/过程]构建年度-关键词频次矩阵,用水平加权和垂直加权处理关键词词频,设计相对词频模型,计算关键词加权综合分值,以获得更有效的关键词排序。[结果/结论]基于关键词加权排序,可以识别量高质优型、量低质优型和突变型关键词,有利于挖掘研究热点和分析趋势。

关键词: 词频分析, 加权关键词, 热点研究, 趋势分析

Abstract: [Purpose/significance] In order to overcome the limitation of the absolute word frequency analysis of the keywords, the hot spots and trends in the field are explored by using the multi-factor weighting and ranking of the keywords.[Method/process] It constructs the annual-key frequency matrix, processes the word frequency of horizontal and vertical weighting, and derives the formula of relative word frequency to get the weighted comprehensive score of keywords, in order to obtain more effective keyword ranking.[Result/conclusion] Based on keyword weighted ranking, three types of keywords, including keywords in large quantities & high quality, keywords in little quantities & high quality, and burst terms, can be identified, greatly benefiting focus mining and trends analysis.

Key words: keyword frequency analysis, weighted keywords, hotspot research, trend analysis

中图分类号: