Communications of the ACM
Modern Information Retrieval
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Network Culture: Politics for the Information Age
Network Culture: Politics for the Information Age
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
A survey of trust and reputation systems for online service provision
Decision Support Systems
Proceedings of the 4th international conference on Knowledge capture
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
We are smarter than me: how to unleash the power of crowds in your business
We are smarter than me: how to unleash the power of crowds in your business
Beyond Microblogging: Conversation and Collaboration via Twitter
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Modeling and Data Mining in Blogosphere
Modeling and Data Mining in Blogosphere
Social media as crisis platform: The future of community maps/crisis maps
ACM Transactions on Intelligent Systems and Technology (TIST)
Promoting coordination for disaster relief: from crowdsourcing to coordination
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief
IEEE Intelligent Systems
Sentiment propagation in social networks: a case study in livejournal
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Whom should I follow?: identifying relevant users during crises
Proceedings of the 24th ACM Conference on Hypertext and Social Media
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Crowds of people can solve some problems faster than individuals or small groups. A crowd can also rapidly generate data about circumstances affecting the crowd itself. This crowdsourced data can be leveraged to benefit the crowd by providing information or solutions faster than traditional means. However, the crowdsourced data can hardly be used directly to yield usable information. Intelligently analyzing and processing crowdsourced information can help prepare data to maximize the usable information, thus returning the benefit to the crowd. This article highlights challenges and investigates opportunities associated with mining crowdsourced data to yield useful information, as well as details how crowdsource information and technologies can be used for response-coordination when needed, and finally suggests related areas for future research.