SwatCS: Combining simple classifiers with estimated accuracy

@inproceedings{Clark2013SwatCSCS,
  title={SwatCS: Combining simple classifiers with estimated accuracy},
  author={Sam Clark and Rich Wicentwoski},
  booktitle={SemEval@NAACL-HLT},
  year={2013}
}
This paper is an overview of the SwatCS system submitted to SemEval-2013 Task 2A: Contextual Polarity Disambiguation. The sentiment of individual phrases within a tweet are labeled using a combination of classifiers trained on a range of lexical features. The classifiers are combined by estimating the accuracy of the classifiers on each tweet. Performance is measured when using only the provided training data, and separately when including external data. 

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Twitter sentiment classification using distant supervision

A. Go, R. Bhayani, L. Huang.
Technical report, Stanford University. • 2009
View 3 Excerpts
Highly Influenced

SemEval - 2013 task 2 : Sentiment analysis in twitter

Theresa Wilson, Zornitsa Kozareva, +3 authors Alan Ritter
Proceedings of the International Workshop on Semantic Evaluation , SemEval ’ 13 . 429 • 2013
View 2 Excerpts

Sentiment Analysis and Subjectivity

Handbook of Natural Language Processing • 2010
View 1 Excerpt

Similar Papers

Loading similar papers…