金融服务领域基于语言特征的电话对话欺诈检测
计算与语言
2020-05-26 v1 机器学习
摘要
在对话中检测欺骗要素是 AI 领域最具挑战性的问题之一。设计一个透明、完全可解释且满足金融与法律服务部署需求的系统则更为困难。本文提出一种利用语言特征对转录电话对话进行欺诈检测的方法。所提方法利用转录文本句法与语义信息,提取客户回复的语言标记与情感。我们在真实金融服务数据上使用朴素贝叶斯、决策树、最近邻和支持向量机等简单、鲁棒且可解释的 classifier 展示了结果。
引用
@article{arxiv.1912.04748,
title = {Fraud detection in telephone conversations for financial services using linguistic features},
author = {Nikesh Bajaj and Tracy Goodluck Constance and Marvin Rajwadi and Julie Wall and Mansour Moniri and Cornelius Glackin and Nigel Cannings and Chris Woodruff and James Laird},
journal= {arXiv preprint arXiv:1912.04748},
year = {2020}
}
备注
Published - 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), AI for Social Good Workshop, Vancouver, Canada