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Big Data analytics to assess personality based on voice analysis
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Refugees Welcome? Online Hate Speech and Sentiments in Twitter in Spain during the Reception of the Boat Aquarius
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Abstract:
High-profile events can trigger expressions of hate speech online, which in turn modifies attitudes and offline behavior towards stigmatized groups. This paper addresses the first path of this process using manual and computational methods to analyze the stream of Twitter messages in Spanish around the boat Aquarius (n = 24,254) before and after the announcement of the Spanish government to welcome the boat in June 2018, a milestone for asylum seekers acceptance in the EU and an event that was highly covered by media. It was observed that most of the messages were related to a few topics and had a generally positive sentiment, although a significant part of messages expressed rejection or hate—often supported by stereotypes and lies—towards refugees and migrants and towards politicians. These expressions grew after the announcement of hosting the boat, although the general sentiment of the messages became more positive. We discuss the theoretical, practical, and methodological implications of the study, and acknowledge limitations referred to the examined timeframe and to the preliminary condition of the conclusions.
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Keyword:
Aquarius Boat; Ciencias de la Información; Hate Speech; Immigration; Politicians; Refugees ans Asylum Seekers; Sentiment Analysis; Telecomunicaciones; Topic Modelling; Twitter
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URL: https://doi.org/10.3390/su13052728
http://hdl.handle.net/10016/33390
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Conversational agent for supporting learners on a MOOC on programming with Java
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An auditory saliency pooling-based LSTM model for speech intelligibility classification
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Desarrollo de una plataforma para reconocimiento de gestos basada en Tensor Flow Lite sobre el dispositivo IoT Argon de Particle
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Analyzing learners' engagement and behavior in MOOCs on programming with the Codeboard IDE
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| 7 |
Reconocimiento de voz basado en características DNN Bottleneck
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| 8 |
Redesigning a Freshman Engineering Course to Promote Active Learning by Flipping the Classroom through the Reuse of MOOCs
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| 9 |
Análisis y aplicación de técnicas de aprendizaje automático para clasificación de reseñas en redes sociales
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| 10 |
Implementación y evaluación de un sistema QbE-STD (Query-by-Example Spoken Term Detection)
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| 11 |
Assessing EPAP lexical features: A corpus-based study ; Análisis de los rasgos léxicos de IFE: Un estudio de corpus ; Una análisi dels trets lèxics d'AFE: Un estudi de corpus
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In: Quaderns de Filologia - Estudis Lingüístics; Vol. 22 (2017): Words, Corpus and Back to Words; 165-186 ; 2444-1449 ; 1135-416X (2018)
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| 12 |
Detección automática de paráfrasis sobre un corpus de preguntas en inglés
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| 13 |
Uncovering flipped-classroom problems at an engineering course on Systems Architecture through data-driven learning design
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| 15 |
Deep Neural Network Architectures for Large-scale, Robust and Small-Footprint Speaker and Language Recognition
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Estimación de la normalidad de los lenguados atendiendo a su morfología
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An end-to-end approach to language identification in short utterances using convolutional neural networks
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Linguistically-constrained formant-based i-vectors for automatic speaker recognition
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