spaCy, Natural Language Processing library

spaCy (https://spacy.io/): 

Industrial-Strength Natural Language Processing Python Library

It's commercial open-source software, released under the MIT license.

spaCy github: https://github.com/explosion/spaCy

- Features

Non-destructive tokenization Named entity recognition Support for 28+ languages 13 statistical models for 8 languages Pre-trained word vectors Easy deep learning integration Part-of-speech tagging Labelled dependency parsing Syntax-driven sentence segmentation Built in visualizers for syntax and NER Convenient string-to-hash mapping Export to numpy data arrays Efficient binary serialization Easy model packaging and deployment State-of-the-art speed Robust, rigorously evaluated accuracy

- How to use it?

1. Install spacy in 'cmd' as administrater

pip install spacy

2. Download language model ('en' : 37.4M)

python -m spacy download en

* You can choose other models here: https://spacy.io/models/en

* If you want to delete the model,

  Go to '\site-packages\spacy\data', 

  (If you use Anaconda, 
  C:\ProgramData\Anaconda3\envs\<envname>\Lib\site-packages\spacy\data)

  

  delete the folder name 'en'

3. Try it (using python)

import spacy nlp = spacy.load('en') doc = nlp(u'This is a sentence.')  print(doc.text) for token in doc:     print(token.text, token.pos_, token.dep_)

4. Try TorchTextTutorial (using spaCy)

https://github.com/mjc92/TorchTextTutorial