资源与产业 ›› 2016, Vol. 18 ›› Issue (6): 27-32.DOI: 10.13776/j.cnki.resourcesindustries.20161223.008

• 资源管理 • 上一篇    下一篇

我国资源环境承载力的时空分布特征及研究热点——基于在线新闻文本分析

李华姣, 张晗江, 刘乃榕, 牟嵩韬   

  1. (1中国地质大学 人文经管学院,北京 100083;2国土资源部资源环境承载力评价重点实验室,北京 100083;3国土资源人才评价开放实验室,北京 100083;4西南石油大学 地球科学与技术学院,四川 成都 637001 )
  • 收稿日期:2016-11-02 修回日期:2016-11-03 出版日期:2017-01-05 发布日期:2017-01-10
  • 基金资助:
    国家自然基金(71173199);国土资源部资源环境承载力评价重点实验室开放课题(CCA2016-01)

TEMPORALSPATIAL DISTRIBUTION AND RESEARCH HOT TOPICS OF CHINA’S RESOURCES AND ENVIRONMENT CARRYING CAPACITY BASED ON LINE NEWS REPORTS

LI Hua-jiao, ZHANG Han-jiang, LIU Nai-rong, MOU Song-tao   

  1. (1.School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China;2. Key Laboratory of Carrying Capacity Assessment for Resources and Environment, MLR, Beijing 100083,China;3.Open Lab of Talents Evaluation, MLR, Beijing 100083, China;4.School of Geosciences and Technology, Southwest Petroleum University, Chengdu 637001, China)
  • Received:2016-11-02 Revised:2016-11-03 Online:2017-01-05 Published:2017-01-10

摘要: 与学术文献的长周期性相比,新闻报道则体现出了时效性的特征,通过新闻的报道,能够快速了解到社会各界对于资源环境承载力的关注和最新动态。文章借助网络舆情的分析方法和工具,系统地介绍了基于百度新闻搜索引擎和网络抓取工具的在线新闻文本分析过程,通过对获取的资源环境承载力主题的691篇在线新闻标题及相关属性信息的统计分析、分词等,全面的分析了资源环境承载力主题在线新闻报道的媒体分布特征、新闻随时间的变化趋势、不同层级区域分布特征、热点词汇年度变化情况等,在可视化工具的帮助下,将分析结果进行可视化呈现。该研究为资源环境承载力领域的研究提供了重要的基础和补充性工作,也为社会各界更加了解资源环境承载力提供了有效的方法。

关键词: 在线新闻文本, 资源环境承载力, 时空分布特征, 新闻热点, 分词

Abstract: Compared with the longtermed academic literatures, news is of timeliness that it can rapidly deliver the latest information regarding the resource and environment carrying capacity. This paper by means of network to introduce on line news of Baidu and Web snapshot, analyzes their media distribution, news trending, levels regional distribution, popular topics changes regarding the topic of resource and environment carrying capacity based on 691 pieces of news, and visualizes the results. This paper offers the basis and supplement to the research on resource environment carrying capacity, and an effective path for the public to know more about resource environment carrying capacity. 

Key words: On line news, resource environment carrying capacity, temporal spatial distribution, news focus, word segmentation

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