图书情报工作 ›› 2019, Vol. 63 ›› Issue (15): 103-110.DOI: 10.13266/j.issn.0252-3116.2019.15.012

• 情报研究 • 上一篇    下一篇

中国政府网“一带一路”新闻话题挖掘分析

秦玥1, 吴亚平2, 王继民1   

  1. 1. 北京大学信息管理系 北京 100871;
    2. 北京大学图书馆 北京 100871
  • 收稿日期:2018-12-11 修回日期:2019-03-27 出版日期:2019-08-05 发布日期:2019-08-05
  • 通讯作者: 王继民(ORCID:0000-0002-3573-7788),教授,博士生导师,通讯作者,E-mail:wjm@pku.edu.cn
  • 作者简介:秦玥(ORCID:0000-0002-1948-5904),硕士研究生;吴亚平(ORCID:0000-0002-4242-2434),馆员。
  • 基金资助:
    本文系国家社会科学基金项目"‘一带一路’沿线国家互联互通水平综合评价研究"(项目编号:16BTQ057)研究成果之一。

An Analysis of News Topics Mining Based on LDA Model: Taking “The Belt and Road” Related News as an Example

Qin Yue1, Wu Yaping2, Wang Jimin1   

  1. 1. Department of Information Management, Peking University, Beijing 100871;
    2. Peking University Library, Beijing 100871
  • Received:2018-12-11 Revised:2019-03-27 Online:2019-08-05 Published:2019-08-05

摘要: [目的/意义]探究中国政府网"一带一路"相关新闻的话题内容及热度变化,呈现"一带一路"倡议主题及动态,明确不同时期的倡议重点,为相关研究提供参考。[方法/过程]构建基于LDA模型的新闻话题内容的基本框架,限定2015-2017年"一带一路"相关新闻数据,利用LDA模型进行话题抽取,根据文档与话题的概率分布计算,分析各主题在不同时间段的热度演化。[结果/结论]抽取得出30个细分话题,归纳为政策沟通、设施联通、贸易畅通、资金融通、民心相通、"一带一路"对我国经济的影响和政府工作7大类。其中,政策沟通类在全时间段上热度最高,贸易畅通和"一带一路"对我国经济的影响两类话题紧随其后。"进出口"等细分话题的热度不断上升,"改革与转型"等细分话题的热度则有下降,体现了官方媒体新闻内容及其关注度随时间而变化的特点。

关键词: “一带一路”, LDA模型, 话题抽取, 热度演化

Abstract: [Purpose/significance] This paper conducted a LDA topic analysis on "the Belt and Road" related news content in official medias and built a basic framework of news topic analysis using LDA model to help the public understand the dynamics and progress of the initiative and its focus in different periods.[Method/process] This paper selected "the Belt and Road" related news on the Chinese government Website during 2015 to 2017, and conducted the topic extraction and heat evolution analysis using LDA model.[Result/conclusion] A total of 30 topics were extracted and summarized as seven categories called policy coordination, facilities connectivity, unimpeded trade, financial integration, people-to-people bond, economic impact and government work. Among them, the policy coordination category has the highest heat during whole time period. Unimpeded trade category and economic impact category are the second and third highest. The heat of some topics, such as "reform and transformation", decline over time, while others like "import and export" increase. These results reflect the changes in the attention of the official media to different news topics related with "the Belt and Road".

Key words: “The Belt and Road”, LDA model, topic extraction, heat evolution

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