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.
Pinned Repositories
bert-classifier-pytorch
bert-topics
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management (Adapt-NLP EACL 2021)
crisis_tfew
Adapting T-Few to CrisisNLP
smacawi.github.io
Public site for Social Media and Crowdsourcing Assessment of Weather Impacts
topic-modeler
Framework to apply LDA and Biterm topic modelling to an unlabeled corpus
tweet-classifier
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
twitter-scraper
A simple scraper built on top of TwitterAPI to stream live tweets
Social Media and Crowdsourcing Assessment of Weather Impacts's Repositories
smacawi/bert-topics
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management (Adapt-NLP EACL 2021)
smacawi/topic-modeler
Framework to apply LDA and Biterm topic modelling to an unlabeled corpus
smacawi/bert-classifier-pytorch
smacawi/crisis_tfew
Adapting T-Few to CrisisNLP
smacawi/smacawi.github.io
Public site for Social Media and Crowdsourcing Assessment of Weather Impacts
smacawi/tweet-classifier
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
smacawi/twitter-scraper
A simple scraper built on top of TwitterAPI to stream live tweets