Textual and contextual patterns for sentiment analysis over microblogs

Authors:
Fotis Aisopos;George Papadakis;Konstantinos Tserpes;Theodora Varvarigou
Affiliations:
National Technical University of Athens, Athens, Greece;National Technical University of Athens & L3S Research Center, Athens, Greece;National Technical University of Athens, Athens, Greece;National Technical University of Athens, Athens, Greece
Venue:
Proceedings of the 21st international conference companion on World Wide Web
Year:
2012

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Abstract

Microblog content poses serious challenges to the applicability of sentiment analysis, due to its inherent characteristics. We introduce a novel method relying on content-based and context-based features, guaranteeing high effectiveness and robustness in the settings we are considering. The evaluation of our methods over a large Twitter data set indicates significant improvements over the traditional techniques.