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The perfect solution for detecting sarcasm in tweets #not
Christine Liebrecht
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Florian Kunneman
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Antal van den Bosch
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
WASSA |
WS |
Citations
URL
Sarcasm Detection on Czech and English Twitter
Tomáš Ptáček
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Ivan Habernal
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Jun Hong
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A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
Soujanya Poria
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Erik Cambria
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Devamanyu Hazarika
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Prateek Vij
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Sarcasm as Contrast between a Positive Sentiment and Negative Situation
Ellen Riloff
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Ashequl Qadir
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Prafulla Surve
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Lalindra De Silva
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Nathan Gilbert
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Ruihong Huang
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Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words
Debanjan Ghosh
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Weiwei Guo
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Smaranda Muresan
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Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi
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Vaibhav Tripathi
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Kevin Patel
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Pushpak Bhattacharyya
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Mark Carman
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Modelling Irony in Twitter
Francesco Barbieri
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Horacio Saggion
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Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
Jihen Karoui
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Farah Benamara
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Véronique Moriceau
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Viviana Patti
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Cristina Bosco
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Nathalie Aussenac-Gilles
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Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra
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Diptesh Kanojia
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Seema Nagar
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Kuntal Dey
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Pushpak Bhattacharyya
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Modelling Irony in Twitter: Feature Analysis and Evaluation
Francesco Barbieri
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Horacio Saggion
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Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.
Diana Maynard
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Mark Greenwood
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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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Harnessing Context Incongruity for Sarcasm Detection
Aditya Joshi
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Vinita Sharma
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Pushpak Bhattacharyya
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Harnessing Cognitive Features for Sarcasm Detection
Abhijit Mishra
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Diptesh Kanojia
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Seema Nagar
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Kuntal Dey
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Pushpak Bhattacharyya
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Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
Abhijit Mishra
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Kuntal Dey
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Pushpak Bhattacharyya
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How Topic Biases Your Results? A Case Study of Sentiment Analysis and Irony Detection in Italian
Francesco Barbieri
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Francesco Ronzano
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Horacio Saggion
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SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal
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Alan Ritter
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Preslav Nakov
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Veselin Stoyanov
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SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal
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Preslav Nakov
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Svetlana Kiritchenko
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Saif Mohammad
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Alan Ritter
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Veselin Stoyanov
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LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
Hongzhi Xu
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Enrico Santus
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Anna Laszlo
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Chu-Ren Huang
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CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
Raj Kumar Gupta
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Yinping Yang
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UWB at SemEval-2018 Task 3: Irony detection in English tweets
Tomáš Hercig
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HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection
Won Ik Cho
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Woo Hyun Kang
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Nam Soo Kim
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NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs
Christos Baziotis
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Athanasiou Nikolaos
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Pinelopi Papalampidi
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Athanasia Kolovou
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Georgios Paraskevopoulos
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Nikolaos Ellinas
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Alexandros Potamianos
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The (Un)Predictability of Emotional Hashtags in Twitter
Florian Kunneman
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Christine Liebrecht
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Antal van den Bosch
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Modelling Sarcasm in Twitter, a Novel Approach
Francesco Barbieri
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Horacio Saggion
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Francesco Ronzano
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Fracking Sarcasm using Neural Network
Aniruddha Ghosh
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Tony Veale
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‘Who would have thought of that!’: A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
Aditya Joshi
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Prayas Jain
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Pushpak Bhattacharyya
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Mark Carman
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The Role of Conversation Context for Sarcasm Detection in Online Interactions
Debanjan Ghosh
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Alexander Richard Fabbri
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Smaranda Muresan
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Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog
Shereen Oraby
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Vrindavan Harrison
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Amita Misra
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Ellen Riloff
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Marilyn Walker
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Detecting Sarcasm is Extremely Easy ;-)
Natalie Parde
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Rodney Nielsen
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http://www.twitter.com
http://twiqs.nl/
http://www.phasar.cs.ru.nl/LCS/
Field Of Study
Task
Sentiment Analysis
Language
English
Dataset
Social Media
Twitter
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