A piece of my mind: A sentiment analysis approach for online dispute detection
|A piece of my mind: A sentiment analysis approach for online dispute detection|
|Author(s)||Wang L., Cardie C.|
|Published in||52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Computational linguistics, Best model, Detection approach, F1 scores, Novel task, Sentiment analysis, Wikipedia, Data mining)|
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A piece of my mind: A sentiment analysis approach for online dispute detection is a 2014 conference paper written in English by Wang L., Cardie C. and published in 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference.
We investigate the novel task of online dispute detection and propose a sentiment analysis solution to the problem: we aim to identify the sequence of sentence-level sentiments expressed during a discussion and to use them as features in a classifier that predicts the DISPUTE/NON-DISPUTE label for the discussion as a whole. We evaluate dispute detection approaches on a newly created corpus of Wikipedia Talk page disputes and find that classifiers that rely on our sentiment tagging features outperform those that do not. The best model achieves a very promising F1 score of 0.78 and an accuracy of 0.80.
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