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I am adding a descriptive README.md file to my recently uploaded twitter classification model: shrugging-grace/tweetclassifier. |
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README.md |
README.md
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} }