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#Irony or #Sarcasm — A Quantitative and Qualitative Study Based on Twitter
Po-Ya Angela Wang
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Paper Details:
Month: November
Year: 2013
Location: Taipei, Taiwan
Venue:
PACLIC |
Citations
URL
Towards a Contextual Pragmatic Model to Detect Irony in Tweets
Jihen Karoui
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Farah Benamara Zitoune
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Véronique Moriceau
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Nathalie Aussenac-Gilles
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Lamia Hadrich Belguith
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Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation
Lotem Peled
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Roi Reichart
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Illegal is not a Noun: Linguistic Form for Detection of Pejorative Nominalizations
Alexis Palmer
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Melissa Robinson
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Kristy K. Phillips
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Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes
Francesco Barbieri
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Luis Espinosa-Anke
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Miguel Ballesteros
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Juan Soler-Company
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Horacio Saggion
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http://www.sciencedirect.com/science/book/97801238
Field Of Study
Task
Tagging
Sentiment Analysis
Language
English
Dataset
Twitter
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