摘要
[目的/意义]探讨基于Word2Vec模型提取关键词及以关键词共现的可视化分析方法在任意主题上科技短文的应用,以便对各科研领域做出有效的分析。[方法/过程]选取德国经济和能源部1991—2017年的光伏类科研项目数据为例,采用基于Word2Vec的方法提取关键信息,并进行可视化处理,分析了德国光伏产业的技术发展。[结果/结论]初步形成一套数据处理方法进行国外技术、经济等相关情报的快速分析。
[Purpose/significance]The paper is to discuss the application of the visual analysis method based on Word2 Vec model for extracting keywords and keywords co-occurrence on any subject tractates, in order to make an effective analysis of various scientific research fields. [Method/process]The paper takes the data of photovoltaic research project of Germany Ministry of Economy and Energy from 1991 to 2017 for example, uses Word2 Vec method to extract key information and processes visualization to analyze the technical development of photovoltaic industry in Germany. [Result/conclusion]The paper preliminarily forms a set of data processing methods to rapidly analyze foreign technical, economic and other related information.
作者
周雷
Zhou Lei(Beijing Institute of Science and Technology Information,Beijing 100048)
出处
《情报探索》
2018年第7期36-40,共5页
Information Research
