摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者从中国长沙发来的消息，研究表明：“通过将一种被广泛使用的机器学习技术称为自然语言处理(NLP)应用于年报中未被删除的文本，我们创造了一种新的、多维的测量方法，以限制感知、捕捉、处理等数字化能力的程度。”本文利用最先进的自然语言处理技术之一——词嵌入模型构建了一个数字化能力词典，用于2010-2021年期间36200个公司年的观测数据。本研究的资助单位包括国家自然科学基金(NSFC)、教育部、湖南省自然科学基金、湖南省社会科学基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Changsha, People's Republic o f China, by NewsRx correspondents, research stated, "By applying a widely used m achine learning technique called natural language processing (NLP) to unstructur ed text from annual reports, we create a new, multi-dimensional measure that cap tures the degree of digitalization capabilities of sensing, seizing, and reconfi guring. We construct a digitalization capabilities dictionary using one of the l atest NLP techniques-the word embedding model-for 36,200 firm-year observations over the period 2010-2021." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Education, China, Natural Science Foundation of Hunan Province, Hunan Provincial Social Science Foundation of China.
NETL
NSTL