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Modelling Context with User Embeddings for Sarcasm Detection in Social Media ...
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Sarcasm detection on Twitter
Lyu, Hao. - 2016
Abstract: State-of-the-art approaches for sarcasm detection in social media combine lexical clues with contextual information surrounding the potentially sarcastic posting including author information. This article presents detailed methods for performing contextualizing sarcasm detection on Twitter, including data extraction, feature engineering and classification model settings. I reproduce the state-of-the-art results reported by Bamman and Smith (2015). ; Information
Keyword: Machine learning; Sarcasm; Twitter
URL: https://doi.org/10.15781/T2ZK55Q00
http://hdl.handle.net/2152/43728
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