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An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
Konstantin Buschmeier
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Philipp Cimiano
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Roman Klinger
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
WASSA |
WS |
SIG: SIGNLL
Citations
URL
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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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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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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Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends’
Aditya Joshi
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Vaibhav Tripathi
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Pushpak Bhattacharyya
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Mark J. Carman
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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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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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ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm
Delia Irazú Hernández Farías
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Emilio Sulis
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Viviana Patti
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Giancarlo Ruffo
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Cristina Bosco
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ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets
Kevin Swanberg
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Madiha Mirza
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Ted Pedersen
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Zhenduo Wang
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NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets
Harsh Rangwani
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Devang Kulshreshtha
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Anil Kumar Singh
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ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets
Delia Irazú Hernández Farías
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Viviana Patti
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Paolo Rosso
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How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature
Aditya Joshi
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Vaibhav Tripathi
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Pushpak Bhattacharyya
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Mark Carman
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Meghna Singh
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Jaya Saraswati
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Rajita Shukla
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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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Comparison of Short-Text Sentiment Analysis Methods for Croatian
Leon Rotim
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Jan Šnajder
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Detecting Sarcasm is Extremely Easy ;-)
Natalie Parde
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Rodney Nielsen
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