Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning Approaches
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Results from the Paper
Ranked #1 on
Information Retrieval
on News Headlines
(using extra training data)
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Uses Extra Training Data |
Benchmark |
|---|---|---|---|---|---|---|---|
| Information Retrieval | News Headlines | Information Retrieval + SVM | 1:1 Accuracy | 83.79 | # 1 |
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