readme: # shrugging-grace/tweetclassifier
  
  ## Model description
  This model classifies tweets as either relating to the Covid-19 pandemic or not. 
  
  ## Intended uses & limitations
  It is intended to be used on tweets commenting on UK politics, in particular those trending with the #PMQs hashtag, as this refers to weekly Prime Ministers' Questions.  
  
  #### How to use
  ``LABEL_0`` means that the tweet relates to Covid-19
  
  ``LABEL_1`` means that the tweet does not relate to Covid-19
  
  ## Training data
  The model was trained on 1000 tweets (with the "#PMQs'), which were manually labeled by the author. The tweets were collected between May-July 2020. 
  
  ### BibTeX entry and citation info
  
  This was based on a pretrained version of BERT. 
  
  @article{devlin2018bert,
    title={Bert: Pre-training of deep bidirectional transformers for language understanding},
    author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
    journal={arXiv preprint arXiv:1810.04805},
    year={2018}
  }
  