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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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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika
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Soujanya Poria
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Sruthi Gorantla
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Erik Cambria
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Roger Zimmermann
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Rada Mihalcea
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Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
Devamanyu Hazarika
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Soujanya Poria
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Amir Zadeh
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Erik Cambria
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Louis-Philippe Morency
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Roger Zimmermann
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Context-Dependent Sentiment Analysis in User-Generated Videos
Soujanya Poria
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Erik Cambria
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Devamanyu Hazarika
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Navonil Majumder
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Amir Zadeh
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Louis-Philippe Morency
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The Impact of Figurative Language on Sentiment Analysis
Tomáš Hercig
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Ladislav Lenc
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IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
Edison Marrese-Taylor
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Suzana Ilic
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Jorge Balazs
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Helmut Prendinger
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Yutaka Matsuo
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INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter
Delia Irazú Hernández Farías
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Fernando Sánchez-Vega
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Manuel Montes-y-Gómez
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Paolo Rosso
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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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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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http://creativecommons.org/licenses/by/4.0/
http://thesarcasmdetector.com
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Approach
Deep Learning
Language
English
Dataset
Social Media
Twitter
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