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Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
Anupam Khattri
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Aditya Joshi
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Pushpak Bhattacharyya
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Mark Carman
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Paper Details:
Month: September
Year: 2015
Location: Lisboa, Portugal
Venue:
WASSA |
WS |
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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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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Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal
Aniruddha Ghosh
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Tony Veale
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Human Centered NLP with User-Factor Adaptation
Veronica Lynn
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Youngseo Son
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Vivek Kulkarni
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Niranjan Balasubramanian
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H. Andrew Schwartz
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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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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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THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
Chuhan Wu
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Fangzhao Wu
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Sixing Wu
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Junxin Liu
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Zhigang Yuan
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Yongfeng Huang
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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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http://dictionary.cambridge.org/dictionary/british/sarcasm
http://help.sentiment140.com/for-students
https://dev.twitter.com/overview/api
Field Of Study
Task
Sentiment Analysis
Language
English
Dataset
Twitter
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