[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".
Qin Yue
,
Wu Yaping
,
Wang Jimin
. An Analysis of News Topics Mining Based on LDA Model: Taking “The Belt and Road” Related News as an Example[J]. Library and Information Service, 2019
, 63(15)
: 103
-110
.
DOI: 10.13266/j.issn.0252-3116.2019.15.012
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