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Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders
6 references·1 citing·28 second hop
Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders (2020)Using Language Processing and Speech Anal…A machine learning approach to predicting psychosis using semantic density and latent content analysis (2019)A machine learning approach t…Natural Language Processing of Social Media as Screening for Suicide Risk (2018)Natural Language Processing o…Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer (2008)Parsing the Turing Test: Phil…Computing Machinery and Intelligence (1950) (2004)Computing Machinery and Intel…Wittgenstein's Lectures on the Foundations of Mathematics, Cambridge, 1939 (1989)Wittgenstein's Lectures on th…Wittgenstein's Lectures on the Foundations of Mathematics, Cambridge 1939. (1977)Wittgenstein's Lectures on th…More than a biomarker: could language be a biosocial marker of psychosis? (2021)More than a biomarker: could …Robot: Mere Machine to Transcendent Mind (1999)The Measure of All Minds: Evaluating Natural and Artificial Intelligence (2017)The influence of conversational agent embodiment and conversational relevance on socially desirable responding (2018)Feeling our way to machine minds: People's emotions when perceiving mind in artificial intelligence (2019)Assessment of suicidal intention: The Scale for Suicide Ideation. (1979)Nudge: improving decisions about health, wealth, and happiness (2008)Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)AI in mental health (2020)Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2020)Mental-LLM (2024)Diagnostic and Statistical Manual of Mental Disorders (2013)Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning (2017)Digital Phenotyping (2017)Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook (2019)Neuroethics at the interface of machine learning and schizophrenia (2020)Meaningful Differences in the Everyday Experience of Young American Children (1998)Language Is a Complex Adaptive System: Position Paper (2009)Artificial intelligence and algorithmic bias: implications for health systems (2019)Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop (2023)Minds, brains, and programs (1980)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)On the Opportunities and Risks of Foundation Models (2021)On Saying What You Really Want to Say: Wittgenstein, Gödel, and the Trisection of the Angle (1995)Computations and Computers in the Sciences of Mind and Brain (2003)THE SEMANTICS OF RACIAL SLURS: USING KAPLAN'S FRAMEWORK TO PROVIDE A THEORY OF THE MEANING OF DEROGATORY EPITHETS (2012)Measurement as a Normative Practice (1998)Wittgenstein's ‘Relativity’: Training in language‐games and agreement in Forms of Life (2008)The Cambridge Companion to Wittgenstein (2017)
this work references cited by second hop

References

  • 2004Computing Machinery and Intelligence (1950)6,119 cited
  • 2018Natural Language Processing of Social Media as Screening for Suicide Risk505 cited
  • 2019A machine learning approach to predicting psychosis using semantic density and latent content analysis203 cited
  • 1977Wittgenstein's Lectures on the Foundations of Mathematics, Cambridge 1939.152 cited
  • 1989Wittgenstein's Lectures on the Foundations of Mathematics, Cambridge, 1939141 cited
  • 2008Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer106 cited

Cited by

  • 2021More than a biomarker: could language be a biosocial marker of psychosis?74 cited

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