Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Mining high-speed data streams
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Maintaining Stream Statistics over Sliding Windows
SIAM Journal on Computing
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
Bolasso: model consistent Lasso estimation through the bootstrap
Proceedings of the 25th international conference on Machine learning
Finding frequent items in data streams
Proceedings of the VLDB Endowment
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Micro-blogging as online word of mouth branding
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Exponentially Decayed Aggregates on Data Streams
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Using emoticons to reduce dependency in machine learning techniques for sentiment classification
ACLstudent '05 Proceedings of the ACL Student Research Workshop
The Journal of Machine Learning Research
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Flu detector: tracking epidemics on twitter
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Methods for mining frequent items in data streams: an overview
Knowledge and Information Systems
Sentiment knowledge discovery in twitter streaming data
DS'10 Proceedings of the 13th international conference on Discovery science
Efficient computation of frequent and top-k elements in data streams
ICDT'05 Proceedings of the 10th international conference on Database Theory
Exploiting hashtags for adaptive microblog crawling
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
TOM: Twitter opinion mining framework using hybrid classification scheme
Decision Support Systems
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Twitter is a micro-blogging service built to discover what is happening at any moment in time, anywhere in the world. Twitter messages are short, generated constantly, and well suited for knowledge discovery using data stream mining. We introduce MOA-TweetReader, a system for processing tweets in real time. We show two main applications of the new system for studying Twitter data: detecting changes in term frequencies and performing real-time sentiment analysis.