NLP - NER using Spacy

NLP Studies with CV Parsing

Training

• Run python train.py . This will create the model folder
• Run python -m spacy package model models to create package versions of the model
• To build tar.gz of the model, go inside the specific folder (e.g. en_model-0.0.0), and run python setup.py sdist

Loading Model

• Run pip install /path/to/en_model-0.0.0.tar.gz to install the model.
• You may now load the model by importing it or calling it with spacy.load("en").

Parsing Documents

• Run python parse.py to parse resume files inside the resumes folder.

References:

• Machine Learning
• NLP
• Named Entity Recognition