Textionnaire: An NLP-Based Questionnaire Analysis Method for Complex and Ambiguous Task Decision Support-Reference-Cited by-同舟云学术

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Textionnaire: An NLP-Based Questionnaire Analysis Method for Complex and Ambiguous Task Decision Support

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
language:
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Author:

Rashidiani Sajjad¹,Doyle Thomas E.¹,Samavi Reza²,Duncan Laura³,Pires Paulo³,Sassi Roberto⁴

Affiliation:

1. McMaster University,Department of Electrical and Computer Engineering,Hamilton,Canada

2. Toronto Metropolitan University,Department of Electrical, Computer, and Biomedical Engineering,Toronto,Canada

3. McMaster University,Department of Psychiatry and Behavioural Neurosciences,Hamilton,Canada

4. University of British Columbia,Department of Psychiatry,Vancouver,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101484/10100740/10101497.pdf?arnumber=10101497

Reference19 articles.

1. A Priori Quantification of Transfer Learning Performance on Time Series Classification for Cyber-Physical Health Systems

2. A Survey on Deep Transfer Learning

3. Sentiment Analysis Techniques Applied to Raw-Text Data from a Csq-8 Questionnaire about Mindfulness in Times of COVID-19 to Improve Strategy Generation

4. Preliminary development of a deep learning-based automated primary headache diagnosis model using Japanese natural language processing of medical questionnaire

5. A Comprehensive Survey on Transfer Learning

Cited by 1 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. Assessing the Feasibility of Processing a Paper-based Multilingual Social Needs Screening Questionnaire Using Artificial Intelligence;2024-03-28

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