基于文本挖掘技术的人工智能领域研究热点分析

Analysis of Research Hotspots in the Field of Artificial Intelligence Based on Text Mining Technology

摘要: 在数字经济不断推进的大背景下，人工智能发展迅速并与多种应用场景深度融合，精准把握人工智能领域的近期发展态势和热点方向具有重要意义。通过使用网络爬虫技术获取人工智能领域高水平文献信息，采用文本挖掘技术，对文献关键词进行共词分析，构建基于摘要的LDA主题发现模型，利用Gephi和Jupyter Notebook软件绘制人工智能领域的知识图谱。分析发现，近三年我国人工智能领域研究最热点关键词为：大数据、深度学习、机器学习；最热研究方向为：高新技术融合、智慧教育、智能医疗、担忧与决策。

Abstract: Under the background of the continuous promotion of digital economy, AI develops rapidly and is deeply integrated with a variety of application scenarios. It is of great significance to accurately grasp the recent development trend and hot direction in the field of AI. By using web crawler technology to obtain high-level literature information in the field of AI, using text mining technology to analyze the co-words of literature keywords, construct LDA topic discovery model based on abstract, and draw the knowledge map in the field of AI by using Gephi and Jupyter Notebook software. It is found that the hottest keywords in the field of AI in China in recent three years are: big data, deep learning and machine learning; the hottest research directions are: high-tech integration, smart education, smart medicine, worry and decision-making.