企业微信_质检客服话术意图识别

输入企业微信聊天中客服的话语，根据基于BERT神经网络结构的多标签模型，预测话语所涉及到的意图。对服务过程中用户表达意图所使用的各种语言表达方式进行了语义识别训练，第三方应用可以利用该能力，对用户通话文本或用户输入文本进行意图识别，从而判断用户的真实意图。

Input the customer service utterances from WeChat Work chats, and predict the intentions involved in these utterances using a multi-label model based on the BERT neural network architecture. Semantic recognition training has been conducted on various linguistic expressions used by users to express their intentions during the service process. Third-party applications can leverage this capability to perform intent recognition on user call transcripts or user input texts, thereby determining the user's true intentions.

搜集汇总

背景与挑战

背景概述

该数据集基于企业微信客服对话，使用BERT多标签模型训练语义识别能力，可帮助第三方应用准确判断用户意图。