Review on Teacher's Classroom Language Behavior Analysis Based on Clustering and Emotional Analysis

With the rapid development of deep learning technology, its applications in various fields are also increasing. In addition to making gratifying progress in traditional image classification, speech recognition, text classification, and other fields, it has also begun to play an important role in more specific and professional research scenarios, such as applying it to specific work such as fault detection in the power industry and case text analysis in the public security field, Fully utilize its self-learning and self-improvement characteristics and functions to provide assistance for the implementation of practical work. Based on the characteristics of deep learning technology, this article starts with the study of classroom teaching behavior analysis in the field of teaching analysis, and explores the feasibility of applying deep learning technology to classroom teaching behavior analysis research.