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101
Location extraction from tweets
In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-02640811 ; Information Processing and Management, Elsevier, 2018, 54 (2), pp.129-144. ⟨10.1016/j.ipm.2017.11.001⟩ (2018)
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102
CROWD-BASED TECHNIQUES TO IMPROVE INTELLIGENCE ANALYSIS
Srinivasan, Sridhar. - : Monterey, CA; Naval Postgraduate School, 2018
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103
Attribution and Artificial Intelligence: Embedding Provenance with Material Metadata
In: Architecture Publications (2018)
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104
Special issue on Sensing, Data Analysis and Platforms for Ubiquitous Intelligence
Chen, Liming; Chen, G.; Yu, H.. - : MDPI, 2018
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105
The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?
In: Journal of Intelligence ; Volume 6 ; Issue 3 (2018)
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106
The Great Debate: General Ability and Specific Abilities in the Prediction of Important Outcomes
In: Journal of Intelligence ; Volume 6 ; Issue 3 (2018)
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107
The Relation of Personality and Intelligence—What Can the Brunswik Symmetry Principle Tell Us?
Kretzschmar, André; Spengler, Marion; Schubert, Anna-Lena. - : Humboldt-Universität zu Berlin, 2018
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108
Semantic reranking of CRF label sequences for verbal multiword expression identification ; Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
Maldonado Guerra, Alfredo; Moreau, Erwan; Vogel, Carl. - : Language Science Press, 2018
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109
Precision immunoprofiling by image analysis and artificial intelligence
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110
Enhancing Your Intelligence Agency Information Resource IQ: PT. 1: The Office of the Director of National Intelligence
In: Libraries Faculty and Staff Presentations (2018)
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111
Troping the Enemy: Metaphor, Culture, and the Big Data Black Boxes of National Security
In: Secrecy and Society (2018)
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112
The relation of personality and intelligence - what can the Brunswik symmetry principle tell us?
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113
A Semi-supervised Corpus Annotation for Saudi Sentiment Analysis Using Twitter
Alqarafi, Abdulrahman; Adeel, Ahsan; Hawalah, Ahmed. - : Springer International Publishing, 2018. : Cham, Switzerland, 2018
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114
Pensamiento crítico de los jóvenes ciudadanos frente a las noticias en Chile
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 54, 2018, pags. 101-110 (2018)
Abstract: Strengthening critical thinking abilities of citizens in the face of news published on the web represents a key challenge for education. Young citizens appear to be vulnerable in the face of poor quality news or those containing nonexplicit ideologies. In the field of data science, computational and statistical techniques have been developed to automatically collect and characterize online news media in real time. Nevertheless, there is still not a lot of interdisciplinary research on how to design data exploration platforms supporting an educational process of critical citizenship. This article explores this opportunity through a case study analyzing critical thinking ability of students when facing news dealing with the social mobilization “No+APF”. From data collected through 4 online exercises conducted by 75 secondary school students, 55 university students and 25 communication specialists, we investigate to what extent young citizens are able to classify news headlines and ideological orientation of news media outlets. We also question the influence of the media’s brand name and the subjectivity of each participant in regards to the social mobilization “No+APF”. The results underline the importance of group work, the influence of the brand name and the correlation between criticalthinking abilities and having a defined opinion. ; Fortalecer el pensamiento crítico de ciudadanos frente a noticias de Internet representa un desafío educativo clave. Los jóvenes ciudadanos parecen vulnerables frente a noticias de mala calidad u orientaciones ideológicas poco explícitas. Desde la ciencia de datos se desarrollan técnicas informáticas y estadísticas para recopilar prensa digital en tiempo real y caracterizarla automáticamente. Sin embargo, existe poca investigación interdisciplinar para diseñar plataformas de exploración de datos al servicio de un proceso educativo de ciudadanía crítica. Este artículo investiga esa oportunidad, mediante un estudio de caso en Chile que analiza la capacidad crítica del alumnado frente a noticias de un hecho social relevante: la movilización social «No+AFP». A partir de cuatro tareas en línea ?realizadas por 75 estudiantes de secundaria, 55 estudiantes universitarios y 25 especialistas en comunicación? preguntamos en qué medida los jóvenes son capaces de calificar titulares de prensa y orientaciones ideológicas de medios de comunicación. Por otra parte, analizamos la influencia de la marca del medio y de la subjetividad que, frente al movimiento social «No+AFP», imprime cada participante al pensamiento crítico. Los resultados obtenidos destacan la relevancia del trabajo en grupo, la influencia de la marca del medio de prensa y la correlación entre tener una opinión definida y la capacidad crítica.
Keyword: análisis textual; Ciudadanía crítica; collective intelligence; Critical citizenship; critical thinking; educación en medios; educational software; innovación tecnológica; inteligencia colectiva; media education; movilización social; pensamiento crítico; social mobilization; software educativo; technology innovation; textual analysis
URL: https://dialnet.unirioja.es/servlet/oaiart?codigo=6235804
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115
Text mining : a guidebook for the social sciences
Ignatow, Gabe; Mihalcea, Rada F.. - Los Angeles : SAGE, 2017
BLLDB
UB Frankfurt Linguistik
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116
The future of translation technology : towards a world without Babel
Chan, Sin-wai. - New York : Routledge, 2017
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UB Frankfurt Linguistik
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117
ImproteK: introducing scenarios into human-computer music improvisation
In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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118
Facial Expression Emotion Detection for Real-time Embedded Systems
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119
FrenchSentiClass : an Automated System for French Sentiment Classification ; FrenchSentiClass : un Système Automatisé pour la Classification de Sentiments en Français
In: Actes de l’atelier DEFT de la conférence TALN 2017 ; DEFT: Défi Fouille de Texte ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01563411 ; DEFT: Défi Fouille de Texte, Jun 2017, Orléans, France (2017)
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120
La cartographie des traces textuelles comme méthodologie d’enquête en sciences sociales
Cointet, Jean-Philippe. - : HAL CCSD, 2017
In: https://hal-sciencespo.archives-ouvertes.fr/tel-03626011 ; Sociologie. École normale supérieure, 2017 (2017)
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