Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

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Emotion Analysis of Industry Research Report Based on the Hybrid Method of BERT and BiLSTM

Authors
Qi Luo1, 2, Mu Zhang1, *
1School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, China
2Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, China
*Corresponding author. Email: zhangmu01@163.com
Corresponding Author
Mu Zhang
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_24How to use a DOI?
Keywords
BERT; BiLSTM; Industry Research Report; Affective Analysis
ABSTRACT

In this era of information explosion, industry research papers contain a large number of information about the current business situation and profit and loss of enterprises, which reflects the credit risk of enterprises from the side, further affecting the objective evaluation of financial institutions such as banks. In order to improve the accuracy of the emotional analysis of industry research papers, this paper adopts the emotional analysis method based on the combination of BERT and BiLSTM, and selects 100 industry research papers from 38 industries of Dongfang Fortune Network in 2021 as samples for emotional analysis. To better demonstrate the performance of this model, this paper uses the SnowNLP model to compare with it. The results show that the accuracy, recall and F1 values based on the mixed model of BERT and BiLSTM are 85.42%, 82% and 83.68% respectively. The accuracy, recall and F1 value of SnowNLP model are 75%, 78% and 76.47% respectively. It can be concluded that the performance of the method proposed in this paper is good, and it has certain validity for the sentiment analysis of industry research papers, and has certain value in helping to predict the future development trend of the industry.

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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Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
978-94-6463-194-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_24How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Qi Luo
AU  - Mu Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Emotion Analysis of Industry Research Report Based on the Hybrid Method of BERT and BiLSTM
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 170
EP  - 176
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_24
DO  - 10.2991/978-94-6463-194-4_24
ID  - Luo2023
ER  -