Title
Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning
Abstract
This paper describes our work on mining pollutant data to assess air quality in urban areas. Notable aspects of this work are that we mine social media and structured data in a domain-specific context, incorporate commonsense knowledge in mining media opinions and focus on the urban planning domain in a multicity environment. The results of mining are useful for predictive analysis in urbanization. A significant contribution is that we provide useful information on urban health impacts.
Year
DOI
Venue
2016
10.1109/ICDEW.2016.7495616
2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW)
Keywords
Field
DocType
Air Pollution,Commonsense Knowledge,Health Impacts,Opinion Mining,Predictive Analysis,Urban Planning
Data mining,Commonsense knowledge,Urbanization,Social media,Computer science,Sentiment analysis,Air quality index,Urban planning,Air pollution,Data model
Conference
Citations 
PageRank 
References 
2
0.38
5
Authors
6
Name
Order
Citations
PageRank
Xu Du13715.92
Onyeka Emebo221.73
Aparna S. Varde318828.71
Niket Tandon414617.32
Sreyasi Nag Chowdhury553.14
Gerhard Weikum6127102146.01