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@smacawi

Social Media and Crowdsourcing Assessment of Weather Impacts

We're a group researchers at McGill University led by Renee Sieber, working to make social media data more useful to crisis managers.

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  1. bert-topics bert-topics Public

    Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management (Adapt-NLP EACL 2021)

    Jupyter Notebook 8 4

  2. topic-modeler topic-modeler Public

    Framework to apply LDA and Biterm topic modelling to an unlabeled corpus

    HTML 2 1

  3. twitter-scraper twitter-scraper Public

    A simple scraper built on top of TwitterAPI to stream live tweets

    Python

  4. tweet-classifier tweet-classifier Public

    Training deep learning models to classify disaster-related tweets in the context of crisis management. Published as "Using deep learning and social network analysis to understand and manage extreme…

    Python

  5. bert-classifier-pytorch bert-classifier-pytorch Public

    Python

  6. smacawi.github.io smacawi.github.io Public

    Public site for Social Media and Crowdsourcing Assessment of Weather Impacts

    HTML

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