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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.

Popular repositories

  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 7 3

  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

Repositories

Showing 7 of 7 repositories
  • twitter-scraper Public

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

    Python 0 MIT 0 1 3 Updated Dec 8, 2022
  • topic-modeler Public

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

    HTML 2 MIT 1 0 7 Updated Dec 8, 2022
  • crisis_tfew Public Forked from r-three/t-few

    Adapting T-Few to CrisisNLP

    Python 0 MIT 57 0 0 Updated Jun 1, 2022
  • smacawi.github.io Public

    Public site for Social Media and Crowdsourcing Assessment of Weather Impacts

    HTML 0 0 0 0 Updated Apr 30, 2021
  • 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 flooding" in Journal of Contingencies and Crisis Management

    Python 0 MIT 0 6 0 Updated Apr 26, 2021
  • 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 7 MIT 3 0 0 Updated Apr 20, 2021
  • bert-classifier-pytorch Public
    Python 0 0 1 0 Updated Apr 6, 2020

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