Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
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ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
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SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
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HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
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HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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Journal of Artificial Intelligence Research
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ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Dr Sentiment knows everything!
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
C-Feel-It: a sentiment analyzer for micro-blogs
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Modeling interaction features for debate side clustering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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We present Subgroup Detector, a system for analyzing threaded discussions and identifying the attitude of discussants towards one another and towards the discussion topic. The system uses attitude predictions to detect the split of discussants into subgroups of opposing views. The system uses an unsupervised approach based on rule-based opinion target detecting and unsupervised clustering techniques. The system is open source and is freely available for download. An online demo of the system is available at: http://clair.eecs.umich.edu/SubgroupDetector/