Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
SELC: a self-supervised model for sentiment classification
Proceedings of the 18th ACM conference on Information and knowledge management
CityU-DAC: Disambiguating sentiment-ambiguous adjectives within context
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Twitter based system: Using Twitter for disambiguating sentiment ambiguous adjectives
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Disambiguating dynamic sentiment ambiguous adjectives
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Predicting the uncertainty of sentiment adjectives in indirect answers
Proceedings of the 20th ACM international conference on Information and knowledge management
Revised mutual information approach for german text sentiment classification
Proceedings of the 22nd international conference on World Wide Web companion
SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives
Language Resources and Evaluation
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Sentiment ambiguous adjectives cause major difficulties for existing algorithms of sentiment analysis. We present an evaluation task designed to provide a framework for comparing different approaches in this problem. We define the task, describe the data creation, list the participating systems and discuss their results. There are 8 teams and 16 systems.