spacy-annotator 1.0

SpaCy annotator for Named Entity Recognition (NER) using ipywidgets.

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.
Features:

• the annotator supports pandas dataframe: it adds annotations in a separate 'annotation' column of the dataframe;
• if a spacy model is passed into the annotator, the model is used to identify entities in text. This can come handy to understand how the model can be improved in an active learning fashion;
• the annotations adhere to spaCy format and are ready to serve as input to spaCy NER model.
  No additional code required!

Blog post: medium/enrico.alemani/spacy-annotator

Example code

import pandas as pd
import re
from annotator.active_annotations import annotate

# Data
df = pd.DataFrame.from_dict({'full_text' : ['I love New York']})

# Annotations
dd = annotate(df,
            col_text = 'full_text',
            labels = ['GPE', 'PERSON'],
            sample_size=1,
            model = 'en',
            regex_flags=re.IGNORECASE
            )

# Example output
dd['annotations'][0]

Preview

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.

Version

ipywidgets: 7.5.1
re: 2.2.1

References

spacy-annotator is based on SpaCy and pigeon.
Many thanks to them for making their awesome libraries publicly available.