Sentiment Analysis On Semeval 2017 Task 4 A
Metrics
Average Recall
Results
Performance results of various models on this benchmark
Model Name | Average Recall | Paper Title | Repository |
|---|---|---|---|
| DataStories | 0.681 | DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis | - |
| LSTMs+CNNs ensemble with multiple conv. ops | 0.681 | BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs | |
| CNN-LSTM | 0.61 | Mazajak: An Online Arabic Sentiment Analyser | - |
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