Detection of Negative Emotions and Depression in Social Networks Based on Bert-LSTM Model

DOI

10.2991/978-94-6463-540-9_91How to use a DOI?

Keywords

Natural language processing; Bert-LSTM; Sentiment detection

Abstract

Due to the surge of depression among netizens in China’s online society, the problem of social depression has developed seriously. The purpose of this paper is to detect and remind Internet negative emotions through natural language processing technology. In this paper, the Bidirectional Encoder Representations from Transformer (BERT) and Long Short-Term Memory (LSTM) model can be used to detect depression in certain online comments. Experiments show the performance of the Bert-LSTM model in identifying depressed moods in online comments, and they record and compare the performance changes of the model by changing the learning rate. In this paper, the performance of the Bert-LSTM model in emotion processing is mainly demonstrated, and the advantages and disadvantages of the model in emotion processing are analyzed, and some optimization ideas are provided for subsequent research. This paper takes the negative mood and depression in social network comments as the starting point, hoping to build a function for social media platforms to monitor emotional problems in a timely manner through the combination of natural language processing and interdisciplinary and make a contribution to ensuring people’s mental health.

Copyright

© 2024 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  - Chao Shen
AU  - Zhihao Zhao
PY  - 2024
DA  - 2024/10/16
TI  - Detection of Negative Emotions and Depression in Social Networks Based on Bert-LSTM Model
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 911
EP  - 920
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_91
DO  - 10.2991/978-94-6463-540-9_91
ID  - Shen2024
ER  -