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Papers Benchmarks Datasets Tasks

Twitter dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

Twitter

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Multimodal Named Entity Recognition

Twitter 17 (test)

90.67F1 Score

14

Multimodal Aspect Sentiment Classification

TWITTER 2017

76.8F1 Score

14

Text Categorization

TWITTER (test)

25.42Classification Error

14

Named Entity Recognition

Twitter

43F1 Score

13

Depression Diagnosis

Twitter (5-fold Cross-Validation)

94.3Accuracy

13

Graph Classification

Twitter GraphOOD (test)

59.33Accuracy

13

Event Sequence Forecasting

Twitter (test)

0.01Wasserstein Distance

13

Link Prediction

Twitter ptb_rate = 0.3 (noisy and incomplete)

3MRR

13

Document Polarity Detection

English Twitter

87.17Accuracy

12

Minimum Vertex Cover

TWITTER (test)

1AR*

12

Link Prediction

Twitter

92.3ROC AUC (%)

12

Sarcasm Detection

Twitter (test)

98.3Accuracy

11

Event count prediction

Twitter (test)

0.46MARE

11

Unconditional generation of event sequences

Twitter (test)

2.9MMD (1e-2)

11

Twitter

5.86R@50

11

Sarcasm Detection

Twitter

81.9Accuracy

11

Rumor Detection

Twitter16

95Accuracy

11

Twitter (test)

71AUC

11

Multimodal misinformation detection

Twitter

93Accuracy

11

Self-introduction generation

Twitter (test)

29.36ROUGE-1 Score

11

Twitter Natural language (test)

78.8bACC

11

twitter

65.7Accuracy

10

Graph Counterfactual Explanation

TWITTER

100Minimality Score

10

Density estimation

Twitter (test)

0.03MMD

10

Dialogue Evaluation

Twitter-Eval

0.301Spearman Correlation

10

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Popular tasks

Link Prediction Multimodal Named Entity Recognition Sentiment Analysis Named Entity Recognition Node Classification

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