Application of Internet segmentation research based on Natural Language Processing technology in enterprise public opinion risk monitoring
Di Liu, Jiangwen Su, Lihua Song, Zhen Qiu · Journal of Physics Conference Series · 2019
With the advent of the mobile Internet era, the network has become a distribution center of various information such as media, entertainment, sports, economy, politics and so on. A large amount of information is generated and disappeared on the network every day. How to effectively extract and identify the relevant data, and judge and analyze them is an important part of the corporate public opinion control. This paper uses natural language processing technology to study the word segmentation of text information on the network, and applies it to the risk detection of corporate public opinion.