现代信息科技2024，Vol.8Issue(11)：16-21,6.DOI:10.19850/j.cnki.2096-4706.2024.11.004
基于对比主题模型和标签指导的对话情感识别
Dialogue Emotional Recognition Based on Comparative Topic Model and Label Guidance
摘要
Abstract
In a dialogue system,dialogue emotion recognition aims to predict the emotional labels for each statement in a conversation.This task is influenced by various factors such as the topic of the dialogue,emotional label information and so on.To address this issue,a new framework called Topic-aware Label Graph Network(TLGN)has been proposed.This model uses topic model to extract semantic topic distributions related to emotions and learns label-guided text representations firstly.Then,it fuses two representations of different granularity,used as semantic input to the text and input into the classification model for emotional prediction of dialogue statements.Finally,experimental results on four publicly available datasets show that the model method outperforms the benchmark methods.关键词
主题模型/对话系统/情感分类/标签指导Key words
topic model/dialogue system/emotional classification/label guidance分类
信息技术与安全科学引用本文复制引用
朱玲..基于对比主题模型和标签指导的对话情感识别[J].现代信息科技,2024,8(11):16-21,6.基金项目
2022年重庆安全技术职业学院科学技术研究项目(AQJS22-09) （AQJS22-09）
