textUtility.py

import spacy

def get_entity_from_text(text):
    res = "--details--"+"\n"
    nlp = spacy.load("en_core_web_sm")
    docs = nlp(text)
    for ent in docs.ents:
        res = res + ent.text +" - "+ ent.label_+"\n"
        #print(ent.text, ent.label_)
    return res

def get_pos_from_text(text):
    res = "--details--"+"\n"
    nlp = spacy.load("en_core_web_sm")
    docs = nlp(text)
    for token in docs:
        res = res + token.text+" : " + token.pos_ + " "+ token.tag_ +"\n"
    return res