Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm

@inproceedings{Khattri2015YourSP,
  title={Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm},
  author={Anupam Khattri and Aditya Joshi and Pushpak Bhattacharyya and Mark James Carman},
  booktitle={WASSA@EMNLP},
  year={2015}
}
Sarcasm understanding may require information beyond the text itself, as in the case of ‘I absolutely love this restaurant. [] Key Method Our sarcasm detection approach uses two components: a contrast-based predictor (that identifies if there is a sentiment contrast within a target tweet), and a historical tweet-based predictor (that identifies if the sentiment expressed towards an entity in the target tweet agrees with sentiment expressed by the author towards that entity in the past).

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