The file contains over 11,000 tweets associated with disaster keywords like “crash”, “quarantine”, and “bush fires” as well as the location and keyword itself.

Then the text were manually classified whether the tweet referred to a disaster event or not (a joke with the word or a movie review or something non-disastrous).

The data structure were inherited from Disasters on social media (https://www.figure-eight.com/data-for-everyone/).

Original Data Source: [COVID-19 All Vaccines Tweets](https://www.kaggle.com/datasets/vstepanenko/disaster-tweets)

Disaster Tweets

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A dataset by Datasimple, Disaster Tweets, Social Media and Networking, Text, NLP, Binary Classification Data

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Disaster Tweets

Social Media and Networking

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Text

NLP

Binary Classification

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