Author:
Ding Meng,Wang Xing,Wu Changming,Wang Kaixuan,Yang Xue
Abstract
Abstract
With the booming of the Internet, Web public opinion plays an increasingly important role in the stability of the network community. Therefore, the sensitive information hidden on the Internet is likely to lead to unpredictable social impact. This paper focuses on the detection of Chinese sensitive information. First, we build a corpus to train the detection model. Secondly, we apply the Bert method to the detection problem. Then, many popular NLP methods are applied to this problem to show the progress of Bert in a sensitive information detection task. Finally, we got a sensitive information detection model based on BERT with a high F1 score of 97.31.
Subject
General Physics and Astronomy
Reference20 articles.
1. Attention is all you need;Vaswani,2017
2. Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation;Wu,2016
3. A convolutional neural network for modelling Sentences;Kalchbrenner,2014
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献