自然语言处理在车企中的运用

打开文本图片集

[摘要]简述NLP的发展过程与各类应用场景，并针对车企所需的内容，着重在舆情监控与语音文本数据处理方面加强构建具体的应用系统，提高车企对非结构化数据处理的程度，利用NLP中BERT模型与机器学习方法能高效地挖掘出数据的价值，让产品体验不断提升。

[关键词] NLP；舆情监控；文本数据

中图分类号：U463.6   文献标志码：A      文章编号：1003-8639（2023）06

Application of NLP in Automobile Enterprises

ZHANG Sen，CHENG Deng，SONG Guan-yu，LIU Wei，DING Xiao-wen，MO Chun-jin

（SAIC GM Wuling Automoblie Co.，Ltd .，Guangxi Laboratory of New Energy Automobile，Guangxi Key Laboratory of Automobile Four New Features，Liuzhou，545007，China）

［Abstract］This paper introduces the development mileage and various application scenarios of NLP，and focuses on building specific application systems in public opinion monitoring and voice data processing to improve the degree of unstructured data processing of car enterprises. It uses the Bert model in NLP and the machine learning to mine the data value efficiently，so as to continuously improve the product experience.

［Key words］NLP；public opinion monitoring；text data

收稿日期：2022-11-23

作者简介：张森（1995—），男，助理工程师，研究方向为汽车大数据相关。（剩余4745字）