Knowledge graph using Spacy NLP
Project description
NLIGraphSpacy
Knowledge graph using NLP Spacy
Installation
pip install nligraphspacy
Implementation
from nligraphspacy import NLIGRAPH
nligraph = NLIGRAPH.RelationEntityExtract("She worked in the city of London")
nligraph.process_text()
# ('She', 'worked', 'London')
nligraph.get_seperate_entities()
# [{'text': 'A', 'label': ''},
# {'text': 'DAG', 'label': 'SOURCE-NODE'},
# {'text': 'is', 'label': ''},
# {'text': 'used', 'label': 'EDGE'},
# {'text': 'for', 'label': ''},
# {'text': 'organizing', 'label': ''},
# {'text': 'tasks', 'label': 'TARGET-NODE'}]
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nligraphspacy-1.1.7.tar.gz
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