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.
@article{arxiv.2110.15801,
title = {Application of the Multi-label Residual Convolutional Neural Network text classifier using Content-Based Routing process},
author = {Tounsi Achraf and Elkefi Safa},
journal= {arXiv preprint arXiv:2110.15801},
year = {2022}
}