Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Using appraisal groups for sentiment analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Towards an analysis of opinions in news editorials: how positive was the year?
IWCS-8 '09 Proceedings of the Eighth International Conference on Computational Semantics
Identifying expressions of emotion in text
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
SentiML: functional annotation for multilingual sentiment analysis
Proceedings of the 1st International Workshop on Collaborative Annotations in Shared Environment: metadata, vocabularies and techniques in the Digital Humanities
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The Appraisal framework is a theory of the language of evaluation, developed within the tradition of systemic functional linguistics. The framework describes a taxonomy of the types of language used to convey evaluation and position oneself with respect to the evaluations of other people. Accurate automatic recognition of these types of language can inform an analysis of document sentiment. This paper describes the preparation of test data for algorithms for automatic Appraisal analysis. The difficulty of the task is assessed by way of an inter-annotator agreement study, based on measures analogous to those used in the MUC-7 evaluation.