Metadata-Version: 2.1
Name: spacy-annotator
Version: 2.1.0
Summary: SpaCy annotator for Named Entity Recognition (NER) using ipywidgets.
Home-page: https://github.com/ieriii/spacy-annotator
Author: Enrico Alemani
Author-email: enrico.alemani@hey.com
License: MIT
Download-URL: https://github.com/ieriii/spacy-annotator/archive/refs/tags/2.1.tar.gz
Description: # 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)
        
        ## 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/ieriii/spacy-annotator/tree/annotator-v2) - Refactored code to class, added displacy visualisation and entity ruler.
        
        ## 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.
        
Keywords: spacy,NER,NLP
Platform: UNKNOWN
Description-Content-Type: text/markdown
