Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise.

  title={Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise.},
  author={Luis Gasc{\'o} and Chlo{\'e} Clavel and C{\'e}sar Asensio and Guillermo de Arcas},
  journal={The Science of the total environment},
A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment
The purpose of this article is to provide enough information, in terms of quality, consistency, and completeness of the data, so that everyone can exploit the database, in full control.
Noise Annoyance in the UAE: A Twitter Case Study via a Data-Mining Approach
This study supports the idea that lexicon-based analyses of large social media datasets may prove to be a useful adjunct or as a complement to existing noise pollution identification and surveillance strategies.
Social Media and Open Data to Quantify the Effects of Noise on Health
A model is built that uses socioeconomic variables, official noise exposure levels, and the soundscape estimated from social media to predict at area level the prevalence of hypertension—a cardiovascular condition that is widely studied in connection to high noise exposure.
Discriminatory Expressions to Improve Model Comprehensibility in Short Documents
A feature selection mechanism that is able to improve comprehensibility by using less but more meaningful features while achieving good performance in microblogging contexts where interpretability is mandatory is presented.
Discriminatory Expressions to Produce Interpretable Models in Microblogging Context
This paper presents a feature selection mechanism (the first step in the pipeline) that is able to improve comprehensibility by using less but more meaningful features while achieving a good performance in microblogging contexts where interpretability is mandatory.
Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling
The current paper focuses on the development of an enhanced Mobile Journalism (MoJo) model for soundscape heritage crowdsourcing, data-driven storytelling, and management in the era of big data and
A review of human reactions to environmental sounds
Soundscape is defined as the entire acoustic environment and the human responses to it. This review summarizes different human reactions to sound exposure, their development, prevalence, symptoms,
Assessment of noise levels and induced annoyance in nearby residential areas of an airport region in Oman
Investigation of noise exposure levels in an airport region and their effects on the nearby two neighborhood communities found that the majority of the measured points have noise levels exceeding both Oman and WHO critical limits.


Soundscapes, social media, and big data: The next step in strategic noise mapping
Instead of using traditional assessment techniques, this project aims to harness the potential of big data, including, for example noise complaint data or social media chatter related to noise, to better assess public sentiments towards noise.
Awareness: A parallel approach against noise
Unlike other pollutants, many of the noise effects on people have a clear subjective component that go beyond the objective physiological effects that the physical phenomenon causes. Among them,
Chatty maps: constructing sound maps of urban areas from social media data
The first urban sound dictionary was compiled and the relationship between soundscapes and people's perceptions was studied and which areas are chaotic, monotonous, calm and exciting was mapped to inform the creation of restorative experiences in the authors' increasingly urbanized world.
Annoyance survey by means of social media.
A study of the annoyance of aircraft noise exposure around Brazil's Guarulhos Airport found that data collection by web-based survey methods may be completed more quickly and hence, could be conducted in countries with fewer resources.
A Broad-Coverage Normalization System for Social Media Language
A cognitively-driven normalization system that integrates different human perspectives in normalizing the nonstandard tokens, including the enhanced letter transformation, visual priming, and string/phonetic similarity is proposed.
The State-of-the-Art in Twitter Sentiment Analysis
This research investigates the unique challenges presented by Twitter sentiment analysis and review the literature to determine how the devised approaches have addressed these challenges and performs an error analysis to uncover the causes of commonly occurring classification errors.
Sentiment Analysis and Opinion Mining
  • Lei Zhang, B. Liu
  • Computer Science
    Encyclopedia of Machine Learning and Data Mining
  • 2017
This book is a comprehensive introductory and survey text that covers all important topics and the latest developments in the field with over 400 references and is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular.
Using Social Media to Detect Outdoor Air Pollution and Monitor Air Quality Index (AQI): A Geo-Targeted Spatiotemporal Analysis Framework with Sina Weibo (Chinese Twitter)
This study indicates that the filtered social media messages are strongly correlated to the AQI and can be used to monitor the air quality dynamics to some extent.
Geo-Spatial Multimedia Sentiment Analysis in Disasters
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