Data Science

Social media and open data to quantify the effects of noise on health
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Luis Gasco, Rossano Schifanella, Luca Maria Aiello, Daniele Quercia, César Asensio, Guillermo De Arcas
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Evaluating noise perception through online social networks: A text mining approach to designing a noise-event alarm system based on social media content
With the rapid rise of the use of Online Social Networks, people have been sharing their opinions and feelings on the Internet: they …
Luis Gasco, César Asensio, Guillermo De Arcas, Chloé Clavel
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Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise
Subjective response to noise is probably the most important goal in environmental acoustics. Traditional surveys have the drawback of …
Luis Gasco, Chloé Clavel, César Asensio, Guillermo De Arcas
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Towards the assessment of community response to noise through social media
Noise is an important concern in modern societies affecting health and wellbeing of citizens. Beyond the physiological objective …
Luis Gasco, César Asensio, Guillermo De Arcas
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