Detection of Stress and Relaxation Magnitudes for Tweets

Author:

Gopalakrishna Pillai Reshmi1,Thelwall Mike1,Orasan Constantin1

Affiliation:

1. University of Wolverhampton, Wolverhampton, United Kingdom

Funder

European Union's Horizon 2020 research and innovation programme

Publisher

ACM Press

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measuring The Performance Ability Threshold Of An Individual Under Perceived Stress With Cognitive Load: A Comprehensive Approach;2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT);2023-09-08

2. Continuous Stress Detection Based on Social Media;IEEE Journal of Biomedical and Health Informatics;2023-09

3. Global Stress Detection Framework Combining a Reduced Set of HRV Features and Random Forest Model;Sensors;2023-05-31

4. Novel deep neural network based stress detection system;ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management;2023

5. Stress-Coping Tweets Acquisition: A Two-phase Bootstrapping Method on Patterns and Semantic Features;2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI);2022-12

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