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灾难微博

灾难微博

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NLP,Text Data,Binary Classification Classification

数据结构 ? 1.54M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context 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. The data structure was inherited from [Disasters on social media](https://appen.com/resources/datasets/) The tweets were collected on Jan 14th, 2020. Some of the topics people were tweeting: - The eruption of Taal Volcano in Batangas, Philippines - Coronavirus - Bushfires in Australia - Iran downing of the airplane flight PS752 Disclaimer: The dataset contains text that may be considered profane, vulgar, or offensive. Inspiration The intention was to enrich the already available data for this topic with newly collected and manually classified tweets. The initial source **[Disasters on social media](https://appen.com/resources/datasets/)** which is used in **[Real or Not? NLP with Disaster Tweets](https://www.kaggle.com/c/nlp-getting-started)** competition on Kaggle.
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