Sentiment analysis: capturing favorability using natural language processing
Proceedings of the 2nd international conference on Knowledge capture
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Recognizing stances in online debates
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
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Recent work on evaluativity or sentiment in the language sciences has focused on the contributions that lexical items provide. In this paper, we discuss contextual evaluativity, stance that is inferred from lexical meaning and pragmatic environments. Focusing on assessor-grounding claims like We liked him because he so clearly disliked Margaret Thatcher, we build a corpus and construct a system employing compositional principles of evaluativity calculation to derive that we dislikes Margaret Thatcher. The resulting system has an F-score of 0.90 on our dataset, outperforming reasonable baselines, and indicating the viability of inferencing in the evaluative domain.