Sentiment Analysis On Semeval 2017 Task 4 A
Metriken
Average Recall
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| 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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