Consumer Complaints Classification Using Machine Learning & Deep Learning

P. K. Naik, Prashanth T, Chandru S, Jaganath S, Sandesh Balan
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Abstract

Complaint handling system used by financial companies are handled by live agents these days, there’s a need to move from a system handled by live agents to a system which automatically handles the complaints to increase efficiency & save cost & time. We are planning to develop an automatic financial complaint classification system that automatically deals with the customer complaints by segregating the data & routing it to the right department. We are planning to develop the system by using Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML) & Deep Learning (DL) concepts and implement using Python, Jupyter Notebook,.etc. The end product will be a web-based application system where customer can register their complaints with-out having to worry about sending it to right department. (Bejarano) Devel-oped system will automatically segregate the complaints & route it to the right department. Through this project we are trying to attain best results for our complaint classification task by comparing various Machine Learning (ML) models, Deep Learning (
使用机器学习和深度学习的消费者投诉分类
目前金融公司使用的投诉处理系统是由现场代理处理的,有必要从现场代理处理的系统转向自动处理投诉的系统,以提高效率,节省成本和时间。我们正计划开发一个自动财务投诉分类系统,通过分离数据并将其路由到正确的部门来自动处理客户投诉。我们计划通过使用自然语言处理(NLP),人工智能(AI),机器学习(ML)和深度学习(DL)概念开发系统,并使用Python, Jupyter Notebook等实现。最终产品将是一个基于web的应用程序系统,客户可以在其中注册他们的投诉,而不必担心将其发送到正确的部门。开发的系统将自动隔离投诉并将其发送到正确的部门。通过这个项目,我们试图通过比较各种机器学习(ML)模型,深度学习(
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