widiger-anna

from __future__ import unicode_literals, print_function
import spacy
from spacy.attrs import ORTH, LEMMA, NORM, TAG
from spacy.lang.en.stop_words import STOP_WORDS
from spacy import displacy
from pathlib import Path
import re

nlp = spacy.load('en_core_web_sm')
# example of expanding contractions using regexes (slow for a big corpus)

nsarode

Version check

pd.__version__

Summary stats

df.describe()

Rows and column counts

vu3jej

import spacy


class ColourExtractorStrict:
    """Extract colours along with adjectives"""

    def __init__(self, colours):
        self.colours = colours
        self.pos_ok = ['ADJ', 'NOUN']
        self.tagger = spacy.load('en')