Research on the Current Status of Emotion Recognition and Response Strategies for Chatting Robots based on Deep Learning

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.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-12-19
DOI
https://doi.org/10.54254/2755-2721/2024.18294
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
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Research on the Current Status of Emotion Recognition and Response Strategies for Chatting Robots based on Deep Learning

Chengkai Zhang
Applied and Computational Engineering
Medical Research and Treatments
article

Research on the Current Status of Emotion Recognition and Response Strategies for Chatting Robots based on Deep Learning

Chengkai Zhang
article en

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.

Applied and Computational EngineeringVol. 114(1)
Guangzhou Automobile Group (China) (CN), Guangzhou Huashang College
Quality Education
Openalex Percentile: Top 56%
Medical Research and Treatments
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