CNN-LSTM neural network model for fine-grained negative emotion computing in emergencies-Reference-Cited by-同舟云学术

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CNN-LSTM neural network model for fine-grained negative emotion computing in emergencies

Published:2022-09 Issue:9 Volume:61 Page:6755-6767
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Zhang Wei,Li Luyao^ORCID,Zhu Yanchun,Yu Peng,Wen Jianbo

Funder

Ministry of Education of the People's Republic of China

Central University of Finance and Economics

Natural Science Foundation of Beijing Municipality

Fundamental Research Funds for the Central Universities

National Office for Philosophy and Social Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering

Reference55 articles.

1. Using social media to call for help in Hurricane Harvey: Bonding emotion, culture, and community relationships;Li;Int. J. Disaster Risk Reduct.,2019

2. Healthcare providers on the frontlines: a qualitative investigation of the social and emotional impact of delivering health services during Sierra Leone's Ebola epidemic;McMahon;Health Policy Plan.,2016

3. Emotion theories and adolescent well-being: Results of an online intervention;Smith;Emotion,2018

4. Relationship of cognitive emotion regulation and meaning in life with health anxiety among emergency nurses;Jamshidian;Health Emerg. Dis.,2018

5. Key scientific problems in public emergency management;Liu;Manage. Rev.,2016

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4. Emotion prediction for textual data using GloVe based HeBi-CuDNNLSTM model;Multimedia Tools and Applications;2023-07-25

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