SWAT-CMW: Classification Of Twitter Emotional Polarity Using A Multiple-Classifier Decision Schema And Enhanced Emotion Tagging
Document Type
Conference Proceeding
Publication Date
2015
Published In
Proceedings Of The 9th International Workshop On Semantic Evaluation
Abstract
In this paper, we describe our approach to Semeval 2015 task 10 subtask B, message level sentiment detection. Our system implements a variety of classifiers and data preparation techniques from previous work. The set of features and classifiers used in the final system produced consistently strong results using cross-validation on the provided training data. Our final system achieved an F-score of 57.60 on the provided test data. The overall best performing system had an F-score of 64.84.
Conference
9th International Workshop On Semantic Evaluation
Conference Dates
June 4-5, 2015
Conference Location
Denver, CO
Recommended Citation
Riley B. Collins , '16; Daniel S. May , '16; Noah Weinthal , '15; and Richard H. Wicentowski.
(2015).
"SWAT-CMW: Classification Of Twitter Emotional Polarity Using A Multiple-Classifier Decision Schema And Enhanced Emotion Tagging".
Proceedings Of The 9th International Workshop On Semantic Evaluation.
669-672.
https://works.swarthmore.edu/fac-comp-sci/66