【摘要】 提出一种基于LDA主题模型的科技新闻主题分析方法,选取2009—2018年中、澳、英、美4国极地科考新闻数据,从主题类型和主题强度角度进行主题演化分析。在中文新闻中,极地测绘等主题的热度上升,极地冰川科考主题的热度下降;在英文新闻中,热门主题为极地冰川科考与极地海洋科考;其余主题热度相对稳定。研究结果表明,该方法可以有效识别科技新闻主题并揭示其演化趋势,可以有效改善网络环境下科技情报分析的自动化程度。更多还原

【Abstract】 This paper proposed a topic analysis method of science and technology news based on the LDA model. The polar expedition news of China, Australia, the UK and the USA from 2009 to 2018 were selected to analyze the topic evolution from the perspective of topic type and topic intensity. In the Chinese news, the heat of topics like polar geomatics research rose but the heat of the polar glaciology research dropped. In the English news, the popular topics were polar glaciology research and polar oceanography research. The rest topics were relatively stable. The results showed that this method could effectively identify and reveal the evolution trend of topics of science and technology news, and it could effectively improve the automation degree of scientific and technological information analysis under the network environment.更多还原