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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 Hits 1 – 20 of 26 1 Neural Topic Modeling of Psychotherapy Sessions ... Lin, Baihan; Bouneffouf, Djallel; Cecchi, Guillermo. - : arXiv, 2022 BASE Show details 2 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M.; Rumker, Laurie; Talkar, Tanya... In: Journal of Medical Internet Research (2020) BASE Show details 3 Using language processing and speech analysis for the identification of psychosis and other disorders Corcoran, Cheryl Mary; Cecchi, Guillermo In: Biol Psychiatry Cogn Neurosci Neuroimaging (2020) BASE Show details 4 Dreaming during the Covid-19 pandemic: Computational assessment of dream reports reveals mental suffering related to fear of contagion Mota, Natália Bezerra; Weissheimer, Janaina; Ribeiro, Marina... In: PLoS One (2020) BASE Show details 5 Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook Birnbaum, Michael L.; Norel, Raquel; Van Meter, Anna... In: NPJ Schizophr (2020) BASE Show details 6 Language as a Biomarker for Psychosis: A Natural Language Processing Approach Corcoran, Cheryl M.; Mittal, Vijay A.; Bearden, Carrie E.... In: Schizophr Res (2020) BASE Show details 7 Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study Low, Daniel M; Rumker, Laurie; Talkar, Tanya... In: J Med Internet Res (2020) BASE Show details 8 Linguistic markers predict onset of Alzheimer's disease Eyigoz, Elif; Mathur, Sachin; Santamaria, Mar... In: EClinicalMedicine (2020) BASE Show details 9 Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing Agurto, Carla; Cecchi, Guillermo A.; Norel, Raquel. - : Springer International Publishing, 2020 BASE Show details 10 From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages Eyigoz, Elif; Courson, Melody; Sedeño, Lucas... In: Cortex (2020) BASE Show details 11 The history of writing reflects the effects of education on discourse structure: implications for literacy, orality, psychosis and the axial age Pinheiro, Sylvia; Mota, Natália Bezerra; Sigman, Mariano. - : Elsevier, 2020 BASE Show details 12 Differential 28-Days Cyclic Modulation of Affective Intensity in Female and Male Participants via Social Media Gallino, Lucila; Carrillo, Facundo; Cecchi, Guillermo A.. - : Frontiers Media S.A., 2019 BASE Show details 13 SPEECH MARKERS FOR CLINICAL ASSESSMENT OF COCAINE USERS Agurto, Carla; Norel, Raquel; Pietrowicz, Mary; Parvaz, Muhammad; Kinreich, Sivan; Bachi, Keren; Cecchi, Guillermo; Goldstein, Rita Z.. - 2019 Abstract: One of the main foci of addiction research is the delineation of markers that track the propensity of relapse. Speech analysis can provide an unbiased assessment that can be deployed outside the lab, enabling objective measurements and relapse susceptibility tracking. This work is the first attempt to study unscripted speech markers in cocaine users. We analyzed 23 subjects performing two tasks: describing the positive consequences (PC) of abstinence and the negative consequences (NC) of using cocaine. We perform two main experiments: first, we analyzed whether acoustic and semantic features can infer clinical variables such as the Cocaine Selective Severity Assessment; then, we analyzed the main problem of interest: to see if these features are powerful enough to infer if the subjects remains abstinent. Our results show that speech features have potential to be used as a proxy to monitor cocaine users under treatment to recover from their addiction. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pubmed/32095118 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039659/ https://doi.org/10.1109/icassp.2019.8682691 BASE Hide details 14 S19. ANALYZING NEGATIVE SYMPTOMS AND LANGUAGE IN YOUTHS AT RISK FOR PSYCHOSIS USING AUTOMATED LANGUAGE ANALYSIS Stanislawski, Emma; Bilgrami, Zarina; Sarac, Cansu. - : Oxford University Press, 2019 BASE Show details 15 24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES Cecchi, Guillermo; Gutierrez, Elkin; Corcoran, Cheryl. - : Oxford University Press, 2019 BASE Show details 16 Prediction of psychosis across protocols and risk cohorts using automated language analysis Corcoran, Cheryl M.; Carrillo, Facundo; Fernández‐Slezak, Diego. - : John Wiley and Sons Inc., 2018 BASE Show details 17 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - : Nature Publishing Group UK, 2018 BASE Show details 18 Predicting natural language descriptions of mono-molecular odorants Gutiérrez, E. Darío; Dhurandhar, Amit; Keller, Andreas. - : Nature Publishing Group UK, 2018 BASE Show details 19 The maturation of speech structure in psychosis is resistant to formal education Mota, Natália Bezerra; Sigman, Mariano; Cecchi, Guillermo. - 2018 BASE Show details 20 The ontogeny of discourse structure mimics the development of literature ... Mota, Natalia Bezerra; Pinheiro, Sylvia; Sigman, Mariano. - : arXiv, 2016 BASE Show details Page: 1 2

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