NLP Pipeline Basics with SpaCy¶
From tokenising words to Named Entity Recognition (NER) and everything in-between, SpaCy provides you all the NLP tools you might need for basic text processing to create features for training ML models on text data.
- How to load a document and access sentences, tokens, and part-of-speech tags.
- How to perform rules-based matching and phrase detection.
- How to perform named entity recognition.
Running the Demo¶
This demo is contained within a single Jupyter notebook -
demos/spacy/spacy_101.ipynb. Make sure you have the necessary Python package requirements installed into a Jupyter kernel for it to run successfully.