Spacy Basic Tutorial

###Spacy Tutorials###

## References: https://course.spacy.io/chapter1 ##

## References: https://spacy.io/usage/spacy-101 ##

### Learning to work with NLP object ###

from spacy.lang.en import English
nlp = English ()
doc = nlp("This is a NLP session")
print (doc.text)

#### Working with SPacy Statistical packages ###

### install basic small package ##

## command to install :  python -m spacy download en_core_web_sm ##

import spacy

nlp = spacy.load('en_core_web_sm')

text = input("please enter your text\n")
doc = nlp (text)

for token in doc:
    print(token.text, token.lemma_, token.pos_, token.is_stop)
    

## working with nouns ###
text = input("please enter your text\n")
doc = nlp (text)
for chunk in doc.noun_chunks:
    print(chunk)


## demonstrating displacy via named entities ##
text = ("Steve Jobs and Steve Wozniak incorporated Apple Computer on January 3, 1977, in Cupertino, California")
doc = nlp (text)
for ent in doc.ents:
    print(ent.text,ent.label_)    
from spacy import displacy 
displacy.serve(doc, style="ent")