文件列表:

demo (0, 2022-04-12)
demo\spacy-annotator_demo.gif (734070, 2022-04-12)
demo\spacy_annotator_demo.ipynb (7529, 2022-04-12)
demo\test.csv (117, 2022-04-12)
setup.py (867, 2022-04-12)
spacy_annotator (0, 2022-04-12)
spacy_annotator\__init__.py (11897, 2022-04-12)

# spacy-annotator SpaCy annotator for Named Entity Recognition (NER) using ipywidgets. The annotator allows users to quickly assign (custom) labels to one or more entities in the text, including noisy-prelabelling! **Features**: * The annotator supports pandas dataframe: it adds annotations in a separate 'annotation' column of the dataframe; * Why not use transformers to label your data for you? If a model is passed into the annotator, it is used to identify entities and pre-fill the annotator for you. * The annotations adhere to spaCy format and are ready to serve as input to a spaCy NER model. No additional code required! Blog post: [medium/enrico.alemani/spacy-annotator](https://medium.com/@enrico.alemani/how-to-create-training-data-for-spacy-ner-models-using-ipywidgets-c4aa71bf61a2) ## Installation ``` pip install spacy-annotator ``` ## Example: annotations using spaCy model https://user-images.githubusercontent.com/31287731/119233291-4079be00-bb20-11eb-8a8d-7ad1436c662b.mov For code, see [spacy_annotator demo](demo/spacy_annotator_demo.ipynb) notebook. ## Contributors [dayalstrub-cma](https://github.com/dayalstrub-cma) - Refactored code to class, added displacy visualisation and entity ruler. [LeafmanZ](https://github.com/LeafmanZ) - Added `to_spacy` method. ## Contributing 1. Fork the repo on GitHub; 2. Clone the project to your own machine; 3. Commit changes to your own branch; and 4. Push your work back up to your own fork; 5. Submit a Pull request so that I can review your changes. ## Dependencies Spacy-annotator works with SpaCy 3.X, and ipywidgets 7.X. ## References spacy-annotator is based on [spaCy](https://spacy.io/) and [pigeon](https://github.com/agermanidis/pigeon) (see also [PigeonXT](https://github.com/dennisbakhuis/pigeonXT)). Many thanks to them for making their awesome libraries publicly available. Another interesting project is [Doccano](https://github.com/doccano/doccano). **Note**: spaCy is a great library and, most importantly, free to use. So please also consider using the https://prodi.gy/ annotator to keep supporting the spaCy deveopment.

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