文章基本信息

标题：Research on Artificial Intelligence Frontier Recognition Based on LDA
本地全文：下载
作者：Ting Xie ; Ping Qin ; Juehu Yan 等
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2018
卷号：5
期号：12
页码：1-13
DOI：10.4236/oalib.1105005
语种：English
出版社：Scientific Research Pub
摘要：Research frontier is the focus of scientific frontier and guides the direction of scientific development. It is of great significance for the state, institutions and researchers to grasp the research frontier in a timely and accurate manner. Based on LDA model, this paper uses Python language to carry out standardized processing, stop words removal, stem extraction and word shape restoration on foreign artificial intelligence data from 2013 to 2017. The processed data are imported into LDA model to output topic—vocabulary matrix and document—topic matrix. The topic is de-scribed on the basis of the topic—vocabulary matrix, and the research frontier is calculated in the light of the document topic matrix and the con-structed frontier identification index, the research frontier of artificial in-telligence abroad is obtained, which includes three categories: computer vision research, application of artificial intelligence in various fields and data mining and clustering research.
关键词：Artificial IntelligenceLDAFormattingResearch FrontierPython