TY - GEN
T1 - MOA-TweetReader
T2 - 14th International Conference on Discovery Science, DS 2011, Co-located with the 22nd International Conference on Algorithmic Learning Theory, ALT 2011
AU - Bifet, Albert
AU - Holmes, Geoffrey
AU - Pfahringer, Bernhard
PY - 2011/10/17
Y1 - 2011/10/17
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-642-24477-3_7
DO - 10.1007/978-3-642-24477-3_7
M3 - Conference contribution
AN - SCOPUS:80053970597
SN - 9783642244766
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 46
EP - 60
BT - Discovery Science - 14th International Conference, DS 2011, Proceedings
Y2 - 5 October 2011 through 7 October 2011
ER -