Cognitive network neighborhoods quantify feelings expressed in suicide notes and Reddit mental health communities
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DOI: 10.1016/j.physa.2022.128336
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- Olga Valba & Alexander Gorsky & Sergei Nechaev & Mikhail Tamm, 2021. "Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-15, April.
- Camilo Akimushkin & Diego Raphael Amancio & Osvaldo Novais Oliveira Jr., 2017. "Text Authorship Identified Using the Dynamics of Word Co-Occurrence Networks," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-15, January.
- Dong Wang & Jiexun Li & Kaiquan Xu & Yizhen Wu, 2017. "Sentiment community detection: exploring sentiments and relationships in social networks," Electronic Commerce Research, Springer, vol. 17(1), pages 103-132, March.
- Cynthia S. Q. Siew & Dirk U. Wulff & Nicole M. Beckage & Yoed N. Kenett, 2019. "Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics," Complexity, Hindawi, vol. 2019, pages 1-24, June.
- Shaoxiong Ji & Celina Ping Yu & Sai-fu Fung & Shirui Pan & Guodong Long, 2018. "Supervised Learning for Suicidal Ideation Detection in Online User Content," Complexity, Hindawi, vol. 2018, pages 1-10, September.
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Keywords
Complex networks; Topic modeling; Emotions; Corpus; Concepts;All these keywords.
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