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Sentiment classification using automatically extracted subgraph features.
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Morristown, NJ, USA
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Arora, S., Mayfield, E., Penstein-Rosé, C., Nyberg, E.: Sentiment classification using automatically extracted subgraph features. In: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, CAAGET 2010, Morristown, NJ, USA, pp. 131–139. Association for Computational Linguistics (2010)
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Last but definitely not least: On the role of the last sentence in automatic polarity-classification.
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Morristown, NJ, USA
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Becker, I., Aharonson, V.: Last but definitely not least: on the role of the last sentence in automatic polarity-classification. In: Proceedings of the ACL 2010 Conference Short Papers, ACLShort 2010, Morristown, NJ, USA, pp. 331–335. Association for Computational Linguistics (2010)
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Becker, I.1
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Upar7: A knowledge-based system for headline sentiment tagging.
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SemEval 2007, Morristown, NJ, USA
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Chaumartin, F.-R.: Upar7: a knowledge-based system for headline sentiment tagging. In: Proceedings of the 4th International Workshop on Semantic Evaluations, SemEval 2007, Morristown, NJ, USA, pp. 422–425. Association for Computational Linguistics (2007)
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Liblinear: A library for large linear classification
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Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis
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Amati, G., Carpineto, C., Romano, G. (eds.), Springer, Heidelberg
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Meena, A., Prabhakar, T.V.: Sentence level sentiment analysis in the presence of conjuncts using linguistic analysis. In: Amati, G., Carpineto, C., Romano, G. (eds.)ECIR 2007. LNCS, vol. 4425, pp. 573–580. Springer, Heidelberg (2007)
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Dependency tree-based sentiment classification using crfs with hidden variables.
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HLT 2010, Morristown, NJ, USA
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Nakagawa, T., Inui, K., Kurohashi, S.: Dependency tree-based sentiment classification using crfs with hidden variables. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, Morristown, NJ, USA, pp. 786–794. Association for Computational Linguistics (2010)
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A study of information retrieval weighting schemes for sentiment analysis.
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ACL 2010, Morristown, NJ, USA
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Paltoglou, G., Thelwall, M.: A study of information retrieval weighting schemes for sentiment analysis. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010, Morristown, NJ, USA, pp. 1386–1395. Association for Computational Linguistics (2010)
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A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
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Pang, B., Lee, L.: A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the ACL, pp. 271–278 (2004)
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Thumbs up?: Sentiment classification using machine learning techniques.
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EMNLP 2002, Morristown, NJ, USA
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Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL 2002 Conference on Empirical Methods in Natural Language Processing, EMNLP 2002, Morristown, NJ, USA, vol. 10, pp. 79–86. Association for Computational Linguistics (2002)
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Using appraisal groups for sentiment analysis
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ACM, New York
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Whitelaw, C., Garg, N., Argamon, S.: Using appraisal groups for sentiment analysis. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, CIKM 2005, pp. 625–631. ACM, New York (2005)
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Movie review mining and summarization
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ACM, New York
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Zhuang, L., Jing, F., Zhu, X.-Y.: Movie review mining and summarization. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management, CIKM 2006, pp. 43–50. ACM, New York (2006)
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