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1
Automated construction of a French Entity Linking dataset to geolocate social network posts in the context of natural disasters
In: ISCRAM ; https://hal.archives-ouvertes.fr/hal-03631387 ; ISCRAM, May 2022, Tarbes, France (2022)
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2
Qui parle du climat en France ? Ce que nous apprennent les réseaux sociaux
In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03629060 ; The Conversation, The Conversation France, 2022 ; https://theconversation.com/fr (2022)
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3
Le Post-it, le président, les mèmes et nous
In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03563945 ; The Conversation, The Conversation France, 2022 (2022)
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4
« “Twitta” “Intellectuelle” “Influenceuse” ? Être enseignante-chercheuse sur twitter »
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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5
Renouvellement paradigmatique dans l’analyse des discours numériques : le cas de la communication politique sur les RSN
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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6
The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0
Ljubešić, Nikola; Rupnik, Peter. - : Jožef Stefan Institute, 2022
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7
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
Ninghan; Xihui; Zhiqiang. - : Zenodo, 2022
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8
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
Ninghan; Xihui; Zhiqiang. - : Zenodo, 2022
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9
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
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10
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
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11
Fronts & Friends: An Investigation into Two Twitter Networks Linked to Russian Actors ...
DiResta, Renée; Grossman, Shelby. - : Stanford Digital Repository, 2022
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12
MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022)
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13
Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages
In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022)
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14
Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms
In: Information; Volume 13; Issue 3; Pages: 152 (2022)
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15
Overview of GermEval Task 2, 2019 shared task on the identification of offensive language
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16
Le Post-it, le président, les mèmes et nous
In: ISSN: 2431-2134 ; The Conversation ; https://halshs.archives-ouvertes.fr/halshs-03563945 ; The Conversation, The Conversation France, 2022 (2022)
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17
Spanish Tipsters and the Millennial and Centennial Generations in the Scenario of a Pandemic
In: Media and Communication ; 10 ; 1 ; 286-296 ; New Narratives for New Consumers: Influencers and the Millennial and Centennial Generations (2022)
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18
Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
In: Politics and Governance ; 9 ; 2 ; 280-292 ; The Politics, Promise and Peril of Ranked Choice Voting (2022)
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19
Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
In: 46 ; Digitale Gesellschaft ; 327 (2022)
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20
Dependency Syntax in the Automatic Detection of Irony and Stance ; Sintaxis de dependencias en la detección automática de ironía y posicionamiento
Cignarella, Alessandra Teresa. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2022
Abstract: PhD thesis in Computer Science written by Alessandra Teresa Cignarella under the supervision of Dr. Cristina Bosco (University of Turin) and Prof. Dr. Paolo Rosso (Universitat Politècnica de València). This thesis was developed under a cotutelle between the PRHLT Research Center of the Universitat Politècnica de València, Spain and the Computer Science Department of the University of Turin, Italy. The thesis defense was held in Torino (online), Italy on October 26th, 2021. The doctoral committee was composed by: Prof. Dr. Joakim Nivre (Department of Linguistics and Philology, Uppsala University, Sweden), Dr. Saif M. Mohammad (National Research Council Canada, Ottawa, Canada), and Prof. Dr. Veronique Hoste (Department of Translation, Interpreting and Communication, Ghent, Belgium). An international mention was achieved after having spent 18 months at the Università degli Studi di Torino and 18 months at the Universitat Politècnica de València. ; Tesis doctoral en Informática realizada por Alessandra Teresa Cignarella y dirigida por la Dra. Cristina Bosco (University of Turin) y el Prof. Dr. Paolo Rosso (Universitat Politècnica de València) en el marco de un convenio de cotutela entre el PRHLT Research Center de la Universitat Politècnica de València, España y el Departamento de Informática de la Universidad de Turin, Italia. La defensa de la tesis fue en Turín (en línea), Italia el 26 de octubre de 2021 ante un tribunal compuesto por: Prof. Dr. Joakim Nivre (Department of Linguistics and Philology, Uppsala University, Sweden), Dr. Saif M. Mohammad (National Research Council Canada, Ottawa, Canada), and Profa. Dra. Veronique Hoste (Department of Translation, Interpreting and Communication, Ghent, Belgium). Se obtuvo la mención internacional tras una estancia de 18 meses en la Università degli Studi di Torino y 18 meses en la Universitat Politècnica de València. ; This work has been funded by the scholarship “Be Positive!” (under the 2019 “Google.org Impact Challenge on Safety” call) and also supported by the European project “STERHEOTYPES - STudying European Racial Hoaxes and sterEOTYPES” funded by the Compagnia di San Paolo and VolksWagen Stiftung under the “Challenges for Europe” call for Project (CUP: B99C20000640007).
Keyword: BERT; Contenido generado por el usuario; Dependencias universales; Detección de ironía; Detección de posicionamiento; Irony Detection; Lenguajes y Sistemas Informáticos; Multilingual; Multilingüe; NLP; PNL; Stance Detection; Twitter; Universal Dependencies; User-Generated Content
URL: https://doi.org/10.26342/2022-68-11
http://hdl.handle.net/10045/122835
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