CODEWITHSUNDEEP
python-2.7parsingnlp
glitters
glitters

Reputation: 11

Which technique is the best for extracting location from a Resume in Python 2.7?

I am working on creating a parser for job description. Here I have to extract every project details separately. I have used NLTK and Stanford but the results are not accurate. Can anyone suggest a module to use which provides best results

Upvotes: 1

Views: 1653

Answers (2)

Dennis Golomazov
Dennis Golomazov

Reputation: 17339

A full working example with spacy:

import spacy
nlp = spacy.load('en_core_web_sm')
text = u"Software Engineer job in San Francisco, California, USA"
doc = nlp(text)
for ent in doc.ents:
    if ent.label_ in ['GPE', 'LOC']:
        print ent.text, ent.start_char, ent.end_char, ent.label_

San Francisco 25 38 GPE
California 40 50 GPE
USA 52 55 GPE

Note that you can train the model further, by giving it more labeled examples. See the documentation.

Upvotes: 0

TARUN KUMAR
TARUN KUMAR

Reputation: 141

Use these commands to install Spacy

pip install -U spacy
python -m spacy download en

Then you can tag your dataset and train the model on that or even you can use the pre-trained model.

Upvotes: 2

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