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Emotional Speech Recognition Using Deep Neural Networks
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In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
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Emotional Speech Recognition Using Deep Neural Networks
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In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
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In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
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Generating Samples of Diasporic Minority Populations: A Chilean Example
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In: Targeting International Audiences: Current and Future Approaches to International Broadcasting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
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The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
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In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
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Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
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In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
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Afterword: Future Directions in Multinational, Multiregional, and Multicultural (3MC) Survey Research
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In: The essential role of language in survey research ; 243-256 (2021)
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Mapping the linguistic landscapes of the Marshall Islands
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In: Journal of Linguistic Geography ; 5 ; 2 ; 67-85 (2021)
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Multi-mode question pretesting: Using traditional cognitive interviews and online testing as complementary methods
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In: Survey Methods: Insights from the Field ; 1-14 ; Advancements in Online and Mobile Survey Methods (2021)
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Discourse Networks and Dual Screening: Analyzing Roles, Content and Motivations in Political Twitter Conversations
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In: Politics and Governance ; 8 ; 2 ; 311-325 ; Policy Debates and Discourse Network Analysis (2021)
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Abstract:
The increasing relevance of social networking platforms is accompanied by a growing number of studies using digital trace data. However, most studies still lack further understanding of the data-generating process. This analytical gap can be directly attributed to the prevalence of quantitative approaches, as only qualitative work is able to generate these insights. The broad methodological toolset of Discourse Network Analysis addresses this shortcoming as it combines both qualitative and quantitative approaches. The present study therefore employs Discourse Network Analysis in order to (1) determine different user groups’ varying role as senders and recipients of targeted online conversations, (2) identify and compare Twitter users’ (simultaneous) reference to different forms of conversational Twitter content, and to (3) asses the motivation of @message authors to direct particular tweets at particular user groups. To this end, this study analyzes @messages during the BBC program 'Question Time' on 2nd of June 2017 - the final media encounter of Prime Minister Theresa May and Jeremy Corbyn in the context of the 2017 UK election campaign. We draw on the theoretical background of Maarten Hajer's discourse coalitions approach in order to investigate the preconditions for the formation of discourse coalitions in new and emerging virtual discourse arenas. Thus, our work not only mirrors the focus in existing literature on Twitter usage during high-profile political media events, but also emphasizes Twitter's unique features for interactive exchange. This article identifies different forms of meta-talk and policy issues, which vary in both their general popularity with Twitter users as well as their interconnectedness. Furthermore, our analysis uncovers the motivation behind the decisions of @message authors to send particular @messages to certain groups of Twitter users. Finally, we could establish that media events only temporarily affect the topical foci of @message authors.
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Keyword:
data capture; Datengewinnung; discourse; Diskurs; election campaign; Elections; electronic Media; elektronische Medien; Great Britain; Großbritannien; Interactive; interaktive; Jeremy Corbyn; journalism; Journalismus,Verlagswesen; media event; Medienereignis; Meinungsbildung; network analysis; Netzwerkanalyse; News media; online media; Online-Medien; opinion formation; political campaigns; political communication; Political Culture; political opinion; Political Process; Political science; Political Sociology; Politikwissenschaft; politische Kommunikation; politische Kultur; politische Meinung; politische Soziologie; politische Willensbildung; publishing; Publizistische Medien; social network; soziales Netzwerk; Theresa May; TV debate; Twitter; Wahlkampf
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URL: https://doi.org/10.17645/pag.v8i2.2573 https://www.ssoar.info/ssoar/handle/document/71795 https://www.cogitatiopress.com/politicsandgovernance/article/view/2573
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Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
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In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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B-SFT: Beobachtungssystem zur Erfassung von Sprachfördertechniken im Kita- und Grundschulalltag
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In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 79-101 (2020)
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Einleitung: Instrumente zur Erfassung institutioneller (schrift-)sprachlicher Bildung
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In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 7-12 (2020)
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Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung
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In: Bad Heilbrunn : Verlag Julius Klinkhardt 2020, 159 S. (2020)
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Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
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Kucherenko, Taras; Henter, Gustav Eje; Beskow, Jonas. - : KTH, Tal, musik och hörsel, TMH, 2020. : KTH, Robotik, perception och lärande, RPL, 2020. : Wiley, 2020
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The Quality of Big Data: Development, Problems, and Possibilities of Use of Process-Generated Data in the Digital Age
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In: Historical Social Research ; 45 ; 3 ; 209-243 (2020)
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Sprachlich-kulturelle Herausforderungen bei der qualitativen Inhaltsanalyse musikbiografischer Interviews mit chinesischen und schweizerischen Musikstudierenden
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In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 20 ; 3 ; 12 ; Qualitative Content Analysis I (2019)
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Building a Sampling Frame for Migrant Populations via an Onomastic Approach: Lesson learned from the Austrian Immigrant Survey 2016
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In: Survey Methods: Insights from the Field ; 1-20 ; Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations (2019)
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Evaluating cross-linguistic forced alignment of conversational data in north Australian Kriol, an under-resourced language
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An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition
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Tanisaro, Pattreeya; Heidemann, Gunther. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : LIPIcs - Leibniz International Proceedings in Informatics. 25th International Symposium on Temporal Representation and Reasoning (TIME 2018), 2018
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