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Linguistic Analysis of Adolescent Narratives of Stressful Life Events ...
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| 2 |
Exploring Language Markers of Mental Health in Psychiatric Stories
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In: Applied Sciences; Volume 12; Issue 4; Pages: 2179 (2022)
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The German Standard and Short Authentic and Hubristic Pride Scales : Psychometric Properties, Validity Testing, Self-Other Agreement, and Linguistic Correlates
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How the Linguistic Styles of Donald Trump and Joe Biden Reflect Different Forms of Power
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The German Standard and Short Authentic and Hubristic Pride Scales : Psychometric Properties, Validity Testing, Self-Other Agreement, and Linguistic Correlates
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| 6 |
How the Linguistic Styles of Donald Trump and Joe Biden Reflect Different Forms of Power
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| 7 |
Language Style Matching in the Therapeutic Dyads of the Gloria Films: Rogers-Gloria, Perls-Gloria, and Ellis-Gloria ...
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You Are What You Text? Predicting Age and Gender from WhatsApp Chats ...
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| 9 |
What makes male gamers angry, sad, amused, and enthusiastic while playing violent video games? ...
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What makes male gamers angry, sad, amused, and enthusiastic while playing violent video games? ...
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| 11 |
Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 22 (2021)
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| 13 |
English colour terms carry gender and valence biases: A corpus study using word embeddings
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In: PLOS ONE, vol. 16, no. 6, pp. e0251559 (2021)
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| 14 |
The Power Of Words: How Are Depression Symptoms And Labile Self-Esteem Related To Word Use?
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In: UC Riverside Undergraduate Research Journal, vol 14, iss 1 (2020)
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| 15 |
Mütterliche Mentalisierung ... : Operationalisierung und Zusammenhang mit kindlicher sozial-emotionaler Kompetenz und ADHS ...
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| 16 |
Towards an Analysis of Gender in Video Game Culture: Exploring Gender specific Vocabulary in Video Game Magazines ...
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| 17 |
Inferring Grandiose Narcissism From Text: LIWC Versus Machine Learning
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In: Mathematical Sciences Faculty Publications (2020)
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Abstract:
People have long used language to infer associates’ personality. In quantitative research, the relationship is often analyzed by looking at correlations between a psychological construct and the Linguistic Inquiry and Word Count (LIWC)—a program that tabulates word frequencies. We compare LIWC to a machine learning (ML) language model on the task of predicting grandiose narcissism (valid N = 471).We use the ML model discussed in Cutler and Kulis and formulate it as an extension of LIWC. With a strict validation scheme, the LIWC prediction was not more accurate than chance. The ML representation did moderately better (R2 = .043). This indicates that the ML model was able to preserve personality information where LIWC failed to do so, suggesting that precautions are warranted for social-personality research that relies solely on LIWC.
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Keyword:
grandiose narcissism; LIWC; machine learning; Mathematics; narcissism; text analysis
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URL: https://journals.sagepub.com/doi/10.1177/0261927X20936309
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/765
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| 18 |
Speaker trait characterization in web videos: Uniting speech, language, and facial features
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In: Proceedings of the 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 3647-3651 ; International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) ; 38 (2020)
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Attachment and language use in donor-conceived adults' self-narratives
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Does It Matter What I Say?: Using Language to Examine Reactions to Ostracism as It Occurs
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In: Frontiers in psychology, 12 November 2020, https://doi.org/10.3389/fpsyg.2020.558069 -- Front Psychol -- https://www.ncbi.nlm.nih.gov/pmc/journals/1525/ -- http://www.frontiersin.org/Language_Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2563826 -- 1664-1078 -- 1664-1078 (2020)
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