Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Sentence and expression level annotation of opinions in user-generated discourse
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Discourse-level relations for opinion analysis
Discourse-level relations for opinion analysis
Polarity analysis of texts using discourse structure
Proceedings of the 20th ACM international conference on Information and knowledge management
Discourse Structure and Sentiment
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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The aim of this paper is twofold: measuring the effect of discourse structure when assessing the overall opinion of a document and analyzing to what extent these effects depend on the corpus genre. Using Segmented Discourse Representation Theory as our formal framework, we propose several strategies to compute the overall rating. Our results show that discourse-based strategies lead to better scores in terms of accuracy and Pearson's correlation than state-of-the-art approaches.