Texas-Winter-Storm-2021-Tweets
OpenML dataset with id 43670
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102495/Texas-Winter-Storm-2021-Tweets.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 14 (numeric: 4, symbolic: 0 and in total binary: 0 )
Number of instances: 23,358
Number of instances with missing values: 23,197
Number of missing values: 53,699
Context Winter Storm Uri in February 2021 caused havoc across the United States and specifically to Texas involving mass power outages, water and food shortages, and dangerous weather conditions. This dataset consists of 23K+ tweets during the crisis week. Data is filtered to mostly include the tweets from influencers (users having more than 5000 followers) however there is a small subset of tweets from other users as well. My notebook - https://www.kaggle.com/rajsengo/eda-texas-winterstrom-2021-tweets Acknowledgements
https://www.kaggle.com/gpreda/pfizer-vaccine-tweets - For the inspiration https://github.com/dataquestio/twitter-scrape - Reference utility to scrape twitter
Inspiration
Apply NLP techniques to undestand user sentiments about the crisis management
This page was built for dataset: Texas-Winter-Storm-2021-Tweets
