Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning Approaches
Datasets
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 |