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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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| 2 |
US-amerikanische Jiddische und Pennsylvania-Deutsche Medien zwischen lokaler Verankerung und Transnationalisierung
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In: ISSN: 0014-2115 ; EISSN: 2426-5543 ; Etudes Germaniques ; https://halshs.archives-ouvertes.fr/halshs-03559078 ; Etudes Germaniques, Klincksieck, 2022, Les études germaniques et le transnational : enjeux d’un questionnement scientifique et épistémologique, 76 (3), pp.379-398 (2022)
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| 3 |
« “Twitta” “Intellectuelle” “Influenceuse” ? Être enseignante-chercheuse sur twitter »
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In: ISSN: 1763-0061 ; EISSN: 1963-1812 ; Tracés : Revue de Sciences Humaines ; https://hal.archives-ouvertes.fr/hal-03592945 ; Tracés : Revue de Sciences Humaines, ENS Éditions, A paraître (2022)
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| 4 |
Renouvellement paradigmatique dans l’analyse des discours numériques : le cas de la communication politique sur les RSN
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In: ISSN: 2116-1747 ; Etudes de stylistique anglaise ; https://hal-amu.archives-ouvertes.fr/hal-03584927 ; Etudes de stylistique anglaise, Société de stylistique anglaise, Lyon, 2022, Renaissance(s)/Rebirth(s), ⟨10.4000/esa.4816⟩ ; https://journals.openedition.org/esa/4816 (2022)
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Chapter 11. Consumer opinion about smoked bacon using Twitter and textual analysis: The challenge continues
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In: Sensory Analysis for the Development of Meat Products ; https://hal-agrosup-dijon.archives-ouvertes.fr/hal-03575175 ; Sensory Analysis for the Development of Meat Products, Elsevier, pp.181-196, 2022, 9780128228326. ⟨10.1016/B978-0-12-822832-6.00013-8⟩ (2022)
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| 6 |
Förderung des Bildungsspracherwerbs bei heterogenen sprachlichen Voraussetzungen im Unterricht mit digitalen Medien ...
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| 7 |
#Bittersweet: Positive, negative, and mixed emotions in twitter posts ...
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Abstract:
We are interested in the emotions associated with feelings of bittersweet. To that end, we will use LIWC (Linguistic Inquiry and Word Count) to investigate how much positive, negative, and mixed emotion people express in tweets that include #happy, #sad, and #bittersweet. This is our first archival analysis of a corpus of words, so we have only sketched out a handful of hypotheses at this point. We will only analyze tweets from 2007 (when Twitter introduced hashtags) to 2009. There were 813 tweets with #bittersweet in that period, which will give us enough power to detect the hypothesized patterns. Based on the results of those analyses, we will file subsequent preregistrations in which we (a) clarify our hypotheses, (b) add more hypotheses, and (c) analyze tweets from 2007 through 2020. . ...
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Keyword:
Bittersweet; FOS Psychology; Mixed Emotions; Psychology; Sentiment Analyis; Social and Behavioral Sciences; Social Media Analysis; Social Psychology
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URL: https://dx.doi.org/10.17605/osf.io/5234a
https://osf.io/5234a/
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| 8 |
Zum Ungleichgewicht digital vermittelten Sachunterrichts und sprachlich-kommunikativer Anforderungen ...
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| 10 |
Sprachliche Individualisierung mittels digitaler Medien
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In: Haider, Michael [Hrsg.]; Schmeinck, Daniela [Hrsg.]: Digitalisierung in der Grundschule. Grundlagen, Gelingensbedingungen und didaktische Konzeptionen am Beispiel des Fachs Sachunterricht. Bad Heilbrunn : Verlag Julius Klinkhardt 2022, S. 140-153 (2022)
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| 11 |
Förderung des Bildungsspracherwerbs bei heterogenen sprachlichen Voraussetzungen im Unterricht mit digitalen Medien
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In: Haider, Michael [Hrsg.]; Schmeinck, Daniela [Hrsg.]: Digitalisierung in der Grundschule. Grundlagen, Gelingensbedingungen und didaktische Konzeptionen am Beispiel des Fachs Sachunterricht. Bad Heilbrunn : Verlag Julius Klinkhardt 2022, S. 124-139 (2022)
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| 12 |
Zum Ungleichgewicht digital vermittelten Sachunterrichts und sprachlich-kommunikativer Anforderungen
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In: Sachunterricht in der Informationsgesellschaft. Bad Heilbrunn : Verlag Julius Klinkhardt 2022, S. 114-121. - (Probleme und Perspektiven des Sachunterrichts; 32) (2022)
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| 13 |
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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| 14 |
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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| 17 |
MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
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In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022)
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| 18 |
Extracting Disaster-Related Location Information through Social Media to Assist Remote Sensing for Disaster Analysis: The Case of the Flood Disaster in the Yangtze River Basin in China in 2020
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In: Remote Sensing; Volume 14; Issue 5; Pages: 1199 (2022)
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| 19 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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| 20 |
Social Media and the Pandemic: Consumption Habits of the Spanish Population before and during the COVID-19 Lockdown
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In: Sustainability; Volume 14; Issue 9; Pages: 5490 (2022)
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