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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 84 1 Resilient resistance? The third sector in the London Borough of Newham at a time of ‘post-racial’ politics Garratt, Lindsey; Byrne, Bridget; Harries, Bethan. - : SAGE Publications, 2021 BASE Show details 2 A lexicon-based approach to detecting suicide-related text on Twitter. Sarsam, Samer Muthana; Al-Samarraie, Hosam; Alzahrani, Ahmed Ibrahim; Alnumay, Aleed; Smith, Andrew Paul. - : Elsevier, 2021 Abstract: Expression of emotion is an indicator that can contribute to the detection of mental health-related disorders. Suicide causes death to many people around the globe, and despite the suicide prevention strategies that have been employed over the years, only a few studies have explored the role of emotions in predicting suicidal behavior on social media platforms. This study explored the role of emotions from Twitter messages in detecting suicide-related content. We extracted and analyzed the characteristics of Twitter users' sentiment and behavior response (anger, fear, sadness, joy, positive, and negative) using NRC Affect Intensity Lexicon and SentiStrength techniques. A semi-supervised learning method was applied using the YATSI classifier or “Yet Another Two-Stage Idea” to efficiently recognize suicide-related tweets. The results showed that tweets associated with suicide content were exclusively related to fear, sadness, and negative sentiments. The classification results showed the potential of emotions in facilitating the detection of suicide-related content online. Our findings offer valuable insights into ongoing research on the prevention of suicide risk and other mental-related disorders on Twitter. The proposed mechanism can contribute to the development of clinical decision support systems that deal with evidence-based guidelines and generate customized recommendations. Keyword: BF Psychology URL: http://orca.cf.ac.uk/137402/ https://doi.org/10.1016/j.bspc.2020.102355 http://orca.cf.ac.uk/137402/1/A%20lexicon-based%20approach%20to%20detecting%20suicide-related%20messages%20on%20Twitter%20_%20Post-print.pdf BASE Hide details 3 A lexicon-based approach to detecting suicide-related text on Twitter. Sarsam, Samer Muthana; Al-Samarraie, Hosam; Alzahrani, Ahmed Ibrahim. - : Elsevier, 2021 BASE Show details 4 Wordless Syntax and Holarchic Flux in Terrain Smith, Andrew. - : eScholarship, University of California, 2020 BASE Show details 5 Wordless Syntax and Holarchic Flux in Terrain Smith, Andrew C.. - : University of California, Santa Cruz, 2020 BASE Show details 6 Lexicon for Renal Mass Terms at CT and MRI: A Consensus of the Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma Shinagare, Atul B.; Davenport, Matthew S.; Park, Hyesun... In: Abdom Radiol (NY) (2020) BASE Show details 7 I will Abandon this Body and Take to the Air:The Suicide at the Heart of Dear Esther Stobbart, Dawn. - : Manchester University Press, 2019 BASE Show details 8 KLOSURE: Closing in on open–ended patient questionnaires with text mining Spasic, Irena; Owen, David; Smith, Andrew. - : BMC, 2019 BASE Show details 9 The theory of perfective drift Siebers, Johan. - : Peter Lang, 2017 BASE Show details 10 Language Boundaries Driven By Surface Tension Smith, Andrew D M. - : American Physical Society, 2017 BASE Show details 11 Dynamic Models of Language Evolution: The Linguistic Perspective Smith, Andrew D. M. In: The Palgrave handbook of the economics of language (2016), S. 61-100 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 12 Competing Mechanistic Hypotheses of Acetaminophen-Induced Hepatotoxicity Challenged by Virtual Experiments Smith, Andrew K.; Petersen, Brenden K.; Ropella, Glen E. P.. - : Public Library of Science, 2016 BASE Show details 13 Word Learning Under Infinite Uncertainty Blythe, Richard; Smith, Andrew D M; Smith, Kenny. - : Elsevier, 2016 BASE Show details 14 Dynamic Models of Language Evolution: The Linguistic Perspective Smith, Andrew D M. - : Palgrave, 2016. : Basingstoke, 2016 BASE Show details 15 The Encyclopedia of the Gothic Hughes, William [Verfasser]; Punter, David [Verfasser]; Smith, Andrew [Verfasser]. - New York, NY : John Wiley & Sons, 2015 DNB Subject Category Language Show details 16 The Encyclopedia of the Gothic Punter, David Herausgeber]. - New York, NY : John Wiley & Sons, 2015 DNB Subject Category Language Show details 17 The Encyclopedia of the Gothic Hughes, William [Herausgeber]; Punter, David [Herausgeber]; Smith, Andrew [Herausgeber]. - New York, NY : John Wiley & Sons, 2015 DNB Subject Category Language Show details 18 New directions in grammaticalization research Smith, Andrew D. M.. - Amsterdam [u.a.] : Benjamins, 2015 MPI-SHH Linguistik Show details 19 Introduction Smith, Andrew D. M.; Trousdale, Graeme; Waltereit, Richard In: New directions in grammaticalization research (Amsterdam, 2015), p. 1-8 MPI für Psycholinguistik Show details 20 New directions in grammaticalization research Smith, Andrew D. M. (Hrsg.); Trousdale, Graeme (Hrsg.); Waltereit, Richard (Hrsg.). - Amsterdam [u.a.] : Benjamins, 2015 BLLDB UB Frankfurt Linguistik Show details Page: 1 2 3 4 5

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