A Study on the Analysis of Students’ Emotions in the Classroom Based on School Forums

DOI

10.2991/978-94-6463-192-0_148How to use a DOI?

Keywords

Campus forum; Plain Bayes; Students; Classroom; Sentiment analysis

Abstract

In this paper, we first crawl the campus forum data using the Scrapy crawler framework to obtain the classroom evaluation dataset, and then use sklearn to perform random partitioning of the dataset. Then the jieba library is used to segment the training set comment data, and feature extraction and feature vectorisation are carried out. Subsequently, a plain Bayesian model constructed by training with the test set data is tested on the data to be tested, and course optimisation suggestions are made based on the test classification results, which are constructive guidance for the reform and improvement of course quality.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hou Xuan
PY  - 2023
DA  - 2023/07/04
TI  - A Study on the Analysis of Students’ Emotions in the Classroom Based on School Forums
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 1135
EP  - 1140
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_148
DO  - 10.2991/978-94-6463-192-0_148
ID  - Xuan2023
ER  -