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Documents as data: A content analysis and topic modeling approach for analyzing responses to ecological disturbances

• Authors : Altaweel, M; Bone, C; Abrams, J

Subjects: Mountain pine beetle; Topic modeling; Hierarchical Dirichlet process

• Source: Ecological Informatics , 51 pp. 82-95. (2019)

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Public opinion about the UK government during COVID-19 and implications for public health: A topic modeling analysis of open-ended survey response data

• Authors : Wright, Liam; Burton, Alexandra; McKinlay, Alison

Subjects: Pandemics; COVID 19; Mental health and psychiatry

• Source: PLOS ONE , 17 (4) , Article e0264134. (2022)

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ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history

• Authors : Bagheri, A; Sammani, A; van der Heijden, PGM

• Source: Journal of Intelligent Information Systems (2020) (In press).

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Enhancing public health response: a framework for topics and sentiment analysis of COVID-19 in the UK using Twitter and the embedded topic model

• Authors : Aldosery, Aisha; Carruthers, Robert; Kay, Karandeep

Subjects: COVID-19; sentiment analysis; Twitter

• Source: Frontiers in Public Health , 12 , Article 1105383. (2024)

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How Did People Cope During the COVID-19 Pandemic? A Structural Topic Modelling Analysis of Free-Text Data From 11,000 United Kingdom Adults

• Authors : Wright, Liam; Fluharty, Meg; Steptoe, Andrew

Subjects: COVID-19; coping (C); free-text analysis

• Source: Frontiers in Psychology , 13 , Article 810655. (2022)

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The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter Discourse

• Authors : Li, L; Aldosery, A; Vitiugin, F

Subjects: COVID-19; Twitter; government

• Source: Frontiers in Public Health , 9 , Article 716333. (2021)

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Organizational Adaptation

• Authors : Sarta, A; Durand, R; Vergne, J-P

Subjects: adaptation; fit; congruence

• Source: Journal of Management (2020) (In press).

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Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques

• Authors : Towler, Lauren; Bondaronek, Paulina; Papakonstantinou, Trisevgeni

Subjects: Science & Technology; Life Sciences & Biomedicine; Public

• Source: Frontiers in Public Health , 11 , Article 1268223. (2023)

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Advancing mental health care with AI-enabled precision psychiatry tools: A patent review

• Authors : Kleine, AK; Lermer, E; Cecil, J

Subjects: Precision psychiatry; Patent review; Artificial intelligence

• Source: Computers in Human Behavior Reports , 12 , Article 100322. (2023)

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Research on Text Classification Based on Automatically Extracted Keywords

• Authors : Ni, P; Li, Y; Chang, V

• Source: International Journal of Enterprise Information Systems , 16 (4) pp. 1-16. (2020)

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