Skip to content

Latest commit

 

History

History
9 lines (5 loc) · 638 Bytes

README.md

File metadata and controls

9 lines (5 loc) · 638 Bytes

ECIR-2015-and-SEMEVAL-2015

The experiment software underlying two papers published at ECIR-2015 and SEMEVAL-2015:

Matthias Hagen, Martin Potthast, Michel Büchner, and Benno Stein. Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores. In Advances in Information Retrieval. 37th European Conference on IR Resarch (ECIR 15) volume 9022 of Lecture Notes in Computer Science, pages 513-525, Berlin Heidelberg New York, March 2015. Springer.

and

Matthias Hagen, Martin Potthast, Michel Büchner, and Benno Stein. Webis: An Ensemble for Twitter Sentiment Detection. In Proceedings of SemEval 2015.