Research on the Current Status of Emotion Recognition and Response Strategies for Chatting Robots based on Deep Learning
Year: 2024
Type: article
Abstract: With the rapid development of artificial intelligence technology, emotion recognition capability has become an important branch of the AI field. This study explores the current status of emotion recognition and response strategies for chatbots based on deep learning, focusing on analyzing the current state of emotion recognition and response strategies for chatbots. This research studies the problem through a questionnaire survey and literature research methods. The results show that chatbots still need to continuously improve their emotional algorithms to meet the growing needs of users, as well as the diversity and naturalness of various languages to provide users with a good experience.
Author: Chengkai Zhang
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405592933