In this article, we will present an NLP application in text classifying process using the content-based router. The ultimate goal throughout this article is to predict the event described by a legal ad from the plain text of the ad. This problem is purely a supervised problem that will involve the use of NLP techniques and conventional modeling methodologies through the use of the Multi-label Residual Convolutional Neural Network for text classification. We will explain the approach put in place to solve the problem of classified ads, the difficulties encountered and the experimental results.

翻译：在本条中,我们将在使用基于内容的路由器对文本进行分类的过程中提出一个NLP应用程序,其最终目的是从广告的纯文本中预测法律广告所描述的事件。这个问题纯粹是一个监督问题,涉及使用NLP技术和传统模型方法,通过多标签残余革命神经网络进行文本分类。我们将解释为解决分类广告问题、遇到的困难和实验结果所采取的办法。