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

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Communications, Signal Processing, and Systems (CSPS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1033))

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Abstract

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.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Lingling Lu, Hao Yuan, Shuya Yang, Lezhou Feng & Xiaoming Ding

Authors
  1. Lingling Lu
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  2. Hao Yuan
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  3. Shuya Yang
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  4. Lezhou Feng
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  5. Xiaoming Ding
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Corresponding author

Correspondence to Xiaoming Ding .

Editor information

Editors and Affiliations

  1. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  2. Inovative Parking Building, Room B410, Dalian University of Technology, Dalian, China

    Xin Liu

  3. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Lu, L., Yuan, H., Yang, S., Feng, L., Ding, X. (2024). Review on Teacher's Classroom Language Behavior Analysis Based on Clustering and Emotional Analysis. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_54

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  • DOI: https://doi.org/10.1007/978-981-99-7502-0_54

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7555-6

  • Online ISBN: 978-981-99-7502-0

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