ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Hierarchical versus flat classification of emotions in text
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
A hybrid approach to emotional sentence polarity and intensity classification
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Affect analysis model: Novel rule-based approach to affect sensing from text
Natural Language Engineering
Identifying event: sentiment association using lexical equivalence and co-reference approaches
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
Hierarchical approach to emotion recognition and classification in texts
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Detecting implicit expressions of emotion in text: A comparative analysis
Decision Support Systems
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Prior versus contextual emotion of a word in a sentence
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Evaluating the impact of syntax and semantics on emotion recognition from text
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Prior and contextual emotion of words in sentential context
Computer Speech and Language
Sentiment topic models for social emotion mining
Information Sciences: an International Journal
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In this paper, we describe our two SemEval-2007 entries. Our first entry, for Task 5: Multilingual Chinese-English Lexical Sample Task, is a supervised system that decides the most appropriate English translation of a Chinese target word. This system uses a combination of Naïve Bayes, nearest neighbor cosine, decision lists, and latent semantic analysis. Our second entry, for Task 14: Affective Text, is a supervised system that annotates headlines using a predefined list of emotions. This system uses synonym expansion and matches lemmatized unigrams in the test headlines against a corpus of hand-annotated headlines.