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spacy-ner-annotator

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/