Sentiment Analysis on Twitter (Accuracy)
80.59AccuracyUnsupervised + Supervised Majority Voting (J-48, SVM, NB)
Evaluation Results
| Method | Links | |
|---|---|---|
| Unsupervised + Supervised Majority Voting (J-48, SVM, NB)Feature Technique=Unigram + MWE, Technique=3-feats2025.11 | 80.59 | |
| Supervised Majority Voting (J-48, SVM, NB)Feature Technique=Unigram + MWE, Technique=3-feats2025.11 | 80.48 | |
| SVMFeature Technique=Unigram + MWE, Technique=3-feats2025.11 | 79.54 | |
| J-48Feature Technique=Unigram + MWE, Technique=3-feats2025.11 | 78.74 | |
| NBFeature Technique=Unigram + MWE, Technique=3-feats2025.11 | 78.48 | |
| Unsupervised + Supervised Majority Voting (J-48, SVM, NB)Feature Technique=Pattern, Technique=3-feats2025.11 | 74.55 | |
| LM_LLMCORRFramework=LLMCORR, Backbone=DeBERTa, k=102024.02 | 74.2 | |
| Supervised Majority Voting (J-48, SVM, NB)Feature Technique=Pattern, Technique=3-feats2025.11 | 74.09 | |
| NBFeature Technique=Pattern, Technique=3-feats2025.11 | 73.76 | |
| SVMFeature Technique=Pattern, Technique=3-feats2025.11 | 73.44 | |
| J-48Feature Technique=Pattern, Technique=3-feats2025.11 | 73.28 | |
| LMBackbone=DeBERTa2024.02 | 72.31 | |
| Semi-supervisedFeature Technique=Unigram + MWE, Technique=3-feats2025.11 | 68.59 | |
| UnsupervisedFeature Technique=Unigram + MWE, Technique=3-feats2025.11 | 67.82 | |
| kNNFeature Technique=Unigram + MWE, Technique=3-feats2025.11 | 66.43 | |
| LLM_FS-10Prompting Strategy=Few-Shot (FS), k=102024.02 | 64.02 | |
| kNNFeature Technique=Pattern, Technique=3-feats2025.11 | 63.12 | |
| Semi-supervisedFeature Technique=Pattern, Technique=3-feats2025.11 | 61.97 | |
| UnsupervisedFeature Technique=Pattern, Technique=3-feats2025.11 | 59.88 | |
| LLM_IPPrompting Strategy=Instruction Prompting (IP)2024.02 | 54.93 |