以学术风格润色下面一段话： 随着信息化不断加深科学技术不断进步各行各业都与信息化技术相结合极大的推动了传统行业的发展物流行业相关部门、公司以及企业在日常活动和信息化建设的过程中产生大量有价值的数据信息。但是对于网络上分布的海量物流文本来说主要存在以下两个特点：一是文本数量多分散程度高类别区分度差；二是较大规模的文本没有统一的记述结构信息抽取难度高。因此本文研究的内容是如何准确地从物流文本中将有价值

With the continuous development of information technology and scientific progress, various industries have been combined with information technology, greatly promoting the development of traditional industries. In the logistics industry, relevant departments, companies, and enterprises generate a large amount of valuable data information in their daily activities and information construction. However, for the massive logistics text distributed on the network, there are two main characteristics: first, there are a large number of texts, high dispersion, and poor category distinction; second, large-scale texts do not have a unified reporting structure, making information extraction difficult. Therefore, the focus of this study is how to accurately extract valuable information from logistics texts, aiming to explore the valuable information in logistics texts and maximize the utilization of texts.