spacy-ner-annotator

December 29, 2020 ยท View on GitHub

Installation

pip3 install spacy

Steps for usage

  1. Open index.html file and open data on it.
  2. Post annotations download the data and convert to spacy format using convert_spacy_train_data.py
  3. Split data into train and test if you wish and add it to train.py
  4. finally run the train.py after setting the hyper-parameters. Iterations are losses are logged in output_log.txt. And precision, recall and f1 scores are logged in train_output.txt and test_output.txt
  5. Check progress by running losses_plotter.py.
  6. If you wish to train over a model download the model and add its name in train.py

Details & Credits

Visit this url:

https://manivannanmurugavel.github.io/annotating-tool/spacy-ner-annotator/