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
Learning with compositional semantics as structural inference for subsentential sentiment analysis
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
Computational Linguistics
More than words: syntactic packaging and implicit sentiment
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Opinion classification with tree kernel SVM using linguistic modality analysis
Proceedings of the 18th ACM conference on Information and knowledge management
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Review sentiment scoring via a parse-and-paraphrase paradigm
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Information Processing and Management: an International Journal
A survey on the role of negation in sentiment analysis
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Learning to detect hedges and their scope using CRF
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Lexicon-based methods for sentiment analysis
Computational Linguistics
Compositional matrix-space models for sentiment analysis
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A semi-automatic approach for building ontologies from acollection of structured web documents
Proceedings of the seventh international conference on Knowledge capture
| Hi-index | 0.00 |
In this paper, we propose to study the effects of negation and modality on opinion expressions. Based on linguistic experiments informed by native speakers, we distill these effects according to the type of modality and negation. We show that each type has a specific effect on the opinion expression in its scope: both on the polarity and the strength for negation, and on the strength and/or the degree of certainty for modality. The empirical results reported in this paper provide a basis for future opinion analysis systems that have to compute the sentiment orientation at the sentence or at the clause level. The methodology we used for deriving this basis was applied for French but it can be easily instantiated for other languages like English.