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Twitter

Benchmarks

Task NameDataset NameSOTA ResultTrend
Graph ClassificationTwitter
Accuracy68.7
57
Maximum CliqueTwitter MC instances (static)
Mean ApR1
38
Aspect-Based Sentiment AnalysisTwitter
Accuracy79.76
35
Visual Emotion RecognitionTwitter II
Accuracy91.68
34
Visual Emotion RecognitionTwitter I
Accuracy95.63
34
Feature AttributionTwitter
Comprehensiveness76
33
Target-dependent sentiment classificationTwitter (test)
Accuracy78.61
31
Multimodal Named Entity RecognitionTwitter 2017
F1 Score88.07
24
Multimodal Named Entity RecognitionTwitter 2015
F1 Score79.33
23
Named Entity RecognitionTwitter NER
F1 Score78.52
23
Multimodal Named Entity RecognitionTwitter-15 (test)
F1 Score79.21
21
Sentiment AnalysisTwitter
Accuracy80.59
20
Rumour DetectionTwitter 15
Accuracy92.3
19
Aspect term-polarity pair extractionTwitter ST (test)
F1 Score51.37
18
Aspect-Based Sentiment AnalysisTwitter (test)
Acc77.17
17
Aspect Polarity ClassificationTwitter
F1 Score (APC)75.16
17
Bot DetectionTwitter tweet-level
Precision96
17
Crisis response generationTwitter
Professionalism99
16
Node ClassificationTwitter HOMO (test)
Mean Accuracy75.92
15
Node ClassificationTwitter HET (test)
Mean Accuracy0.7317
15
Multimodal Aspect Sentiment ClassificationTWITTER 2015
F1 Score78.1
15
Multimodal Named Entity RecognitionTwitter 17 (test)
F1 Score90.67
14
Multimodal Aspect Sentiment ClassificationTWITTER 2017
F1 Score76.8
14
Text CategorizationTWITTER (test)
Classification Error25.42
14
Depression DiagnosisTwitter (5-fold Cross-Validation)
Accuracy94.3
13
Showing 25 of 115 rows