Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Parsing engineering and empirical robustness
Natural Language Engineering
A unified theory of irony and its computational formalization
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
HAHAcronym: a computational humor system
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Recognizing Humor Without Recognizing Meaning
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Characterizing Humour: An Exploration of Features in Humorous Texts
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Clues for detecting irony in user-generated contents: oh...!! it's "so easy" ;-)
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
Automatic satire detection: are you having a laugh?
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Using Gaussian Mixture models to detect figurative language in context
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A framework for figurative language detection based on sense differentiation
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Detecting Ironic Intent in Creative Comparisons
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
Identifying sarcasm in Twitter: a closer look
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
EmotiNet: a knowledge base for emotion detection in text built on the appraisal theories
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Mining subjective knowledge from customer reviews: a specific case of irony detection
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
The impact of semantic and morphosyntactic ambiguity on automatic humour recognition
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Computational models for incongruity detection in humour
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data
Social Science Computer Review
Sentiment analysis in Facebook and its application to e-learning
Computers in Human Behavior
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The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused on describing a model for recognizing these phenomena in social media, such as ''tweets''. Our experiments are centered on five data sets retrieved from Twitter taking advantage of user-generated tags, such as ''#humor'' and ''#irony''. The model, which is based on textual features, is assessed on two dimensions: representativeness and relevance. The results, apart from providing some valuable insights into the creative and figurative usages of language, are positive regarding humor, and encouraging regarding irony.