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Modelling Irony in Twitter
Francesco Barbieri
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Horacio Saggion
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Citations
URL
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir
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Byron C. Wallace
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Hao Lyu
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Paula Carvalho
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Mário J. Silva
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A Long Short-Term Memory Framework for Predicting Humor in Dialogues
Dario Bertero
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Pascale Fung
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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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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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UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and Figurative Language in Twitter
Francesco Barbieri
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Francesco Ronzano
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Horacio Saggion
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SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee
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Els Lefever
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Véronique Hoste
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NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu
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Dat Quoc Nguyen
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Xuan-Son Vu
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Dai Quoc Nguyen
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Michael Catt
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Michael Trenell
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LDR at SemEval-2018 Task 3: A Low Dimensional Text Representation for Irony Detection
Bilal Ghanem
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Francisco Rangel
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Paolo Rosso
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PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis
Elena Mikhalkova
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Yuri Karyakin
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Alexander Voronov
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Dmitry Grigoriev
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Artem Leoznov
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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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Textual Aggression Detection through Deep Learning
Antonela Tommasel
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Juan Manuel Rodriguez
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Daniela Godoy
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https://twitter.com/
http://www.anc.org/
https://github.com/vinhkhuc/Twitter-
Field Of Study
Task
Sentiment Analysis
Language
English
Dataset
Twitter
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