Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions-Reference-Cited by-同舟云学术

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Applying Attention-Based Models for Detecting Cognitive Processes and Mental Health Conditions

Published:2021-07-17 Issue:5 Volume:13 Page:1154-1171
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Villatoro-Tello Esaú^ORCID,Parida Shantipriya,Kumar Sajit,Motlicek Petr

Funder

H2020 European Research Council

Sistema Nacional de Investigadores

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-021-09901-1.pdf

Reference58 articles.

1. Burdick L, Mihalcea R, Boyd RL, Pennebaker JW. Analyzing connections between user attributes, images, and text. Cogn Comput. 2020;1–20.

2. Pennebaker JW. The secret life of pronouns. New Scientist. 2011;211(2828):42–5.

3. Pennebaker JW, Mehl MR, Niederhoffer KG. Psychological aspects of natural language use: Our words, our selves. Annu Rev Psychol. 2003;54(1):547–77.

4. Reece AG, Reagan AJ, Lix KL, Dodds PS, Danforth CM, Langer EJ. Forecasting the onset and course of mental illness with twitter data. Sci Rep. 2017;7(1):1–11.

5. Pennebaker JW, Chung CK, Frazee J, Lavergne GM, Beaver DI. When small words foretell academic success: The case of college admissions essays. PLoS ONE. 2014;9(12):e115844.

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