PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data
Albert Bifet, Geoff Holmes and Bernhard Pfahringer
In: DS 2011, October 5-7, 2011, Espoo, Finland.

Abstract

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.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:8691
Deposited By:Albert Bifet
Deposited On:19 February 2012