Detecting sentiment change in Twitter streaming data

About this item

Title

Detecting sentiment change in Twitter streaming data

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

MOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to find the terms whose frequency changed. 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, and generated constantly, and well suited for knowledge discovery using data stream mining. MOA-TweetReader is a software extension to the MOA framework. Massive Online Analysis (MOA) is a software environment for impl...

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Format

Research paper

Research format

Conference item

Date created

2011

Creator

Bifet, Albert / Holmes, Geoffrey / Pfahringer, Bernhard / Gavaldà, Ricard

URL

https://hdl.handle.net/10289/11228

Related subjects

Machine learning

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© 2011 A. Bifet, G. Holmes, B. Pfahringer & R. Gavaldà.

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