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Regression modeling for linguistic data ...
Sonderegger, Morgan. - : Open Science Framework, 2022
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THE EFFECTS OF L2 PRAGMATIC AUTONOMOUS AND CONTROLLED MOTIVATIONS ON ENGAGEMENT WITH PRAGMATIC ASPECT
In: TEFLIN Journal, Vol 33, Iss 1, Pp 148-172 (2022) (2022)
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A multi-method approach to correlate identification in acoustic data: The case of Media Lengua
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 13 ; 1868-6354 (2021)
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Which data do elementary school teachers use to determine reading difficulties in their students?
In: Journal of learning disabilities 54 (2021) 5, S. 349-364 (2021)
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Which data do elementary school teachers use to determine reading difficulties in their students? ...
Schmitterer, Alexandra; Brod, Garvin. - : Hammill Inst. on Disabilites, 2021. : Sage Publ., 2021
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Aspects of linguistic ageing in literary authors across time
Vogel, Carl. - 2021
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APPLICATION OF THE ECONOMETRIC APPROACH TO FORECASTING THE KEY INDICATORS IN RENTAL OPERATIONS ; ЗАСТОСУВАННЯ ЕКОНОМЕТРИЧНОГО ПІДХОДУ ДО ПРОГНОЗУВАННЯ КЛЮЧОВИХ ПОКАЗНИКІВ В ОРЕНДНИХ ОПЕРАЦІЯХ
In: The Economic Discourse; No. 3 (2020); 106-116 ; Економічний дискурс; № 3 (2020); 106-116 ; 2410-7476 ; 2410-0919 ; 10.36742/2410-0919-2020-3 (2021)
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8
Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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9
Exploring predictors of translation performance
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 13 , Iss 2 (2021) (2021)
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10
Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
Sohoglu, Ediz; Davis, Matt. - : Apollo - University of Cambridge Repository, 2020
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11
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
In: Big Data and Cognitive Computing ; Volume 4 ; Issue 1 (2020)
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12
"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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13
Bilingual (English-Ukrainian) course of lectures on "probabilistic basics of data proccesing" [Text] / Comp.: O.A Batina, G.G.Vlasyuk.- K .: NTUU "KPI", 2017. - 179 p.
elena Batina (8972099). - 2020
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14
The development of narrative skills in Turkish-speaking children: A complexity approach
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15
Primärprozess in der Katathym Imaginativen Psychotherapie unter dem Einfluss psychotroper Substanzen ...
Grotz, Annalen. - : Universität Ulm, 2019
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16
Computing Happiness from Textual Data
In: Stats ; Volume 2 ; Issue 3 ; Pages 25-370 (2019)
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17
Computing Happiness from Textual Data
In: 2 ; 3 ; 347 ; 370 (2019)
Abstract: In this paper, we use a corpus of about 100,000 happy moments written by people of different genders, marital statuses, parenthood statuses, and ages to explore the following questions: Are there differences between men and women, married and unmarried individuals, parents and non-parents, and people of different age groups in terms of their causes of happiness and how they express happiness? Can gender, marital status, parenthood status and/or age be predicted from textual data expressing happiness? The first question is tackled in two steps: first, we transform the happy moments into a set of topics, lemmas, part of speech sequences, and dependency relations; then, we use each set as predictors in multi-variable binary and multinomial logistic regressions to rank these predictors in terms of their influence on each outcome variable (gender, marital status, parenthood status and age). For the prediction task, we use character, lexical, grammatical, semantic, and syntactic features in a machine learning document classification approach. The classification algorithms used include logistic regression, gradient boosting, and fastText. Our results show that textual data expressing moments of happiness can be quite beneficial in understanding the “causes of happiness” for different social groups, and that social characteristics like gender, marital status, parenthood status, and, to some extent age, can be successfully predicted form such textual data. This research aims to bring together elements from philosophy and psychology to be examined by computational corpus linguistics methods in a way that promotes the use of Natural Language Processing for the Humanities.
Keyword: fastText; gradient boosting; happiness; lemmatization; Lexical analysis; Logistic regression; topic modeling
URL: http://hdl.handle.net/2436/622529
https://doi.org/10.3390/stats2030025
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18
Individualized Frequency Importance Functions for Listeners with Sensorineural Hearing Loss
In: Communicative Disorders and Deaf Education Faculty Publications (2019)
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19
A Meta-Analysis and Meta-Regression of Incidental Second Language Word Learning from Spoken Input ...
de Vos, Johanna; Schriefers, Herbert; Lemhöfer, Kristin. - : Radboud University, 2018
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20
The Relation between Prospective Teachers’ Attitudes towards Uncertainty and Motivation in Teaching
In: Education Sciences ; Volume 8 ; Issue 3 (2018)
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