Wildfires_MentalHealth

This repository contains the materials related to the article Wildfires and Social Media Discourse: Exploring Mental Health and Emotional Well-Being Through Twitter.

Requirements

• Anaconda
• Python 3
• Scikit-learn
• Pandas
• Numpy
• Spacy
• Tweepy
• Pycm
• Optuna
• Gensim
• LIWC2015

Dataset

The Twitter Tubbs Fire dataset is available for download through the IEEEDataPort platform.

Files

1. Collecting the initial dataset here
2. Preprocessing the dataset and filtering here and here
3. Sentiment Analysis here
4. SA and LIWC visualizations here and here
5. Word frequency and co-ocurrence here and here
6. Distribution over time here
7. Topic modeling here

References

For more information, please read Wildfires and Social Media Discourse: Exploring Mental Health and Emotional Well-Being Through Twitter:

If you use this data, please cite:

@MISC {dataset-twitter-tubbs-fire,
    author    = "García, Yury E. and Villa-Pérez, Miryam Elizabeth and Li, Kuang and Tai, Xiao Hui and Trejo, Luis A. and Daza–Torres, Maria L. and Montesinos-López, Cricelio and Nuño, Miriam",
    title     = "Twitter Tubbs Fire Dataset",
    month     = "feb",
    year      = "2024",
    doi       = "10.21227/ea4x-wp41",
    url       = "https://dx.doi.org/10.21227/ea4x-wp41",
    publisher = "IEEE Dataport"
}