对话情绪识别

针对用户日常沟通文本背后所蕴含情绪的一种直观检测，可自动识别出当前会话者所表现出的一级和二级细分情绪类别及其置信度，针对正面和负面的情绪，还可给出参考回复话术。帮助企业更全面地把握产品服务质量、监控客户服务质量。在自动监控中如果发现有负面情绪出现，可以及时介入人工处理，帮助在有限的人工客服条件下，降低客户流失。

This is an intuitive detection approach for identifying emotions underlying users' daily communication texts. It can automatically recognize the first-level and second-level fine-grained emotion categories expressed by current conversational participants, along with their respective confidence scores. Additionally, it can provide reference response scripts for both positive and negative emotional states. This solution helps enterprises comprehensively evaluate product and service quality and monitor customer service performance. When negative emotions are detected during automated monitoring, timely manual intervention can be carried out, which assists in reducing customer churn even under the constraint of limited human customer service resources.

搜集汇总

背景与挑战

背景概述

该数据集名为'对话情绪识别'，属于自然语言处理领域，用于自动识别用户日常沟通文本的情绪类别及其置信度，帮助企业监控客户服务质量并及时处理负面情绪。数据集发布于2021年，每年更新一次，采用增量更新方式。