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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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Meta-Analysis of the Functional Neuroimaging Literature with Probabilistic Logic Programming
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In: https://hal.archives-ouvertes.fr/hal-03590714 ; 2022 (2022)
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VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
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In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
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PROTECT: A Pipeline for Propaganda Detection and Classification
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In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
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Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
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In: Research outputs 2014 to 2021 (2022)
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Robust Estimation of the Chronological Age of Children and Adolescents Using Tooth Geometry Indicators and POD-GP
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2952 (2022)
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A Comparative Review on Applications of Different Sensors for Sign Language Recognition
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In: Journal of Imaging; Volume 8; Issue 4; Pages: 98 (2022)
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A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders
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In: Information; Volume 13; Issue 3; Pages: 120 (2022)
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Cultural Intelligence in the Study of Intelligence
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In: Journal of Strategic Security (2022)
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Tracing the Legitimacy of Artificial Intelligence – A Media Analysis, 1980-2020
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Психофизиологические механизмы, лежащие в основе процесса восприятия речи ; Psychophysiological Mechanisms of the Speech Perception Process
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cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations
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In: Erofeev, Gleb, Sorokina, Irina, Han, Lifeng orcid:0000-0002-3221-2185 and Gladkoff, Serge (2021) cushLEPOR uses LABSE distilled knowledge to improve correlation with human translation evaluations. In: Machine Translation Summit 2021, 16-20 Aug 2021, USA (online). (In Press) (2021)
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Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement
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In: Alekseeva, Alexandra orcid:0000-0002-7990-4592 , Gladkoff, Serge, Sorokina, Irina and Han, Lifeng orcid:0000-0002-3221-2185 (2021) Monte Carlo modelling of confidence intervals in translation quality evaluation (TQE) and post-editing dstance (PED) measurement. In: Metrics 2021: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
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Proactive information retrieval
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Sen, Procheta. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Sen, Procheta (2021) Proactive information retrieval. PhD thesis, Dublin City University. (2021)
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Sentiment Analysis of Arabic Documents
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In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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On Refining BERT Contextualized Embeddings using Semantic Lexicons
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In: Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021) ; https://hal.archives-ouvertes.fr/hal-03318571 ; Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Sep 2021, Online, Spain (2021)
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Ein Überblick über die neuesten abstrakten Zusammenfassungstechniken ; A Survey of Recent Abstract Summarization Techniques ; Un aperçu des techniques récentes de résumé abstrait
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In: Proceedings of Sixth International Congress on Information and Communication TechnologyICICT 2021, London, Volume 4Series: Lecture Notes in Networks and Systems, Vol. 217Yang, X.-S., Sherratt, S., Dey, N., Joshi, A. (Eds.) 2021 ; Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 4, Series: Lecture Notes in Networks and Systems, Vol. 217. Springer Singapore, 2021 ; https://hal.archives-ouvertes.fr/hal-03216381 ; Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 4, Series: Lecture Notes in Networks and Systems, Vol. 217. Springer Singapore, 2021, ICICT 2021, Feb 2021, London, United Kingdom ; https://www.waterstones.com/book/proceedings-of-sixth-international-congress-on-information-and-communication-technology/xin-she-yang/simon-sherratt/9789811621017 (2021)
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Dataset of coronavirus content from Instagram with an exploratory analysis
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559489 ; IEEE Access, IEEE, 2021, 9, pp.157192-157202. ⟨10.1109/ACCESS.2021.3126552⟩ (2021)
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Abstract:
International audience ; The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engagement in social media. Online Social Networks are playing an important role in news propagation as well as keeping people in contact. At the same time, social media is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this study, we publish a multilingual coronavirus (COVID-19) Instagram dataset that we have continuously collected during the first wave of the pandemic from 5 January 2020 to 30 May 2020. The dataset contains 25.7K posts, 829K comments, and 3.2M likes in various subjects from different publishers such as ‘public accounts’, ‘fake accounts (bots)’, ‘newsagencies’, ‘influencers’, ‘celebrities’, ‘business pages’, etc. In addition to the dataset, this paper provides an analysis of the behaviour of the publishers. We study the behavioural aspects of the users in terms of their engagement, use of hashtags, activities, reactions as well as a full analysis of the published content related to the COVID-19. We believe this contribution helps the research community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Bot; Coronavirus; COVID-19; Dataset; Fake content; Instagram; Social network analysis
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URL: https://hal.archives-ouvertes.fr/hal-03559489 https://doi.org/10.1109/ACCESS.2021.3126552
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Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
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In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
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