Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1M - 10M
License:
| annotations_creators: | |
| - crowdsourced | |
| language: | |
| - en | |
| language_creators: | |
| - crowdsourced | |
| license: | |
| - gpl-3.0 | |
| multilinguality: | |
| - monolingual | |
| paperswithcode_id: null | |
| pretty_name: tweeter-dataset-sent-analysis | |
| size_categories: | |
| - 1M<n<10M | |
| source_datasets: | |
| - original | |
| tags: [] | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - sentiment-classification | |
| train-eval-index: | |
| - col_mapping: | |
| label: labels | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| - args: | |
| average: binary | |
| name: F1 binary | |
| type: f1 | |
| tweet: text | |
| config: default | |
| splits: | |
| train_split: train | |
| validation_split: validation | |
| task: text-classification | |
| task_id: binary_classification | |
| tweets in english positive negative |