Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
Commit
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Parent(s):
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README.md
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dataset_info:
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features:
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- name: text
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# Dataset Card for "twitter-coronavirus"
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---
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language:
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- en
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license:
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- unknown
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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- sentiment-analysis
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dataset_info:
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features:
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- name: text
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# Dataset Card for "twitter-coronavirus"
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## Dataset Description
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- **Homepage:** Kaggle Challenge
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- **Repository:** https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
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- **Paper:** N.A.
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- **Leaderboard:** N.A.
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- **Point of Contact:** N.A.
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### Dataset Summary
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Perform Text Classification on the data. The tweets have been pulled from Twitter and manual tagging has been done then.
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The names and usernames have been given codes to avoid any privacy concerns.
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Columns:
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1) Location
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2) Tweet At
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3) Original Tweet
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4) Label
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### Languages
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english
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### Citation Information
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https://www.kaggle.com/datasets/datatattle/covid-19-nlp-text-classification
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### Contributions
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Thanks to [@davidberenstein1957](https://github.com/davidberenstein1957) for adding this dataset.
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