seo-auto-scaler - version2 - training - SOURCE CODE

# read in some helpful libraries
import nltk                       # the natural langauage toolkit, open-source NLP
import pandas as pd               # pandas dataframe
import re                         # regular expression
from nltk.corpus import stopwords  
from gensim.utils import lemmatize
from gensim import parsing        # Help in preprocessing the data, very efficiently
import gensim
import numpy as np
import pprint
import lxml
import codecs
import os,sys
import gzip
import json
import os

import unicodedata
from multiprocessing.pool import ThreadPool
from multiprocessing import Pool
import concurrent.futures
#import cdx_toolkit
import pprint
import lxml
import codecs
import os,sys
from pathlib import Path
import gzip
import random
import json
import math
import uuid
import warcio				# pip3 install --upgrade warcio
from warcio.archiveiterator import ArchiveIterator
import builtins
vars(globals()['__builtins__']) is vars(builtins)
from io import BytesIO, StringIO
pp = pprint.PrettyPrinter(indent=4)
import justext	# pip install justext
#import urllib.request
import requests	# pip3 install --upgrade requests
#from urllib.parse import urlparse# pip3 install --upgrade urlparse
#import urllib # url=urllib.unquote(url).decode('utf8')
import urllib3
urllib3.disable_warnings()
#urllib3.disable_warnings()
import signal
from contextlib import contextmanager
from bs4 import BeautifulSoup, Comment
import bleach #https://pypi.org/project/bleach/

... [truncated, 322 more lines] ...

# read in some helpful libraries
import nltk                       # the natural langauage toolkit, open-source NLP
import pandas as pd               # pandas dataframe
import re                         # regular expression
from nltk.corpus import stopwords  
from gensim.utils import lemmatize
from gensim import parsing        # Help in preprocessing the data, very efficiently
import gensim
import numpy as np
import pprint
import lxml
import codecs
import os,sys
import gzip
import json
import os

import unicodedata
from multiprocessing.pool import ThreadPool
from multiprocessing import Pool
import concurrent.futures
#import cdx_toolkit
import pprint
import lxml
import codecs
import os,sys
from pathlib import Path
import gzip
import random
import json
import math
import uuid
import warcio				# pip3 install --upgrade warcio
from warcio.archiveiterator import ArchiveIterator
import builtins
vars(globals()['__builtins__']) is vars(builtins)
from io import BytesIO, StringIO
pp = pprint.PrettyPrinter(indent=4)
import justext	# pip install justext
#import urllib.request
import requests	# pip3 install --upgrade requests
#from urllib.parse import urlparse# pip3 install --upgrade urlparse
#import urllib # url=urllib.unquote(url).decode('utf8')
import urllib3
urllib3.disable_warnings()
#urllib3.disable_warnings()
import signal
from contextlib import contextmanager
from bs4 import BeautifulSoup, Comment
import bleach #https://pypi.org/project/bleach/

... [truncated, 331 more lines] ...

# read in some helpful libraries
import nltk                       # the natural langauage toolkit, open-source NLP
import pandas as pd               # pandas dataframe
import re                         # regular expression
from nltk.corpus import stopwords  
from gensim.utils import lemmatize
from gensim import parsing        # Help in preprocessing the data, very efficiently
import gensim
import numpy as np
import pprint
import lxml
import codecs
import os,sys
import gzip
import json
import os

import unicodedata
from multiprocessing.pool import ThreadPool
from multiprocessing import Pool
import concurrent.futures
#import cdx_toolkit
import pprint
import lxml
import codecs
import os,sys
from pathlib import Path
import gzip
import random
import json
import math
import uuid
import warcio				# pip3 install --upgrade warcio
from warcio.archiveiterator import ArchiveIterator
import builtins
vars(globals()['__builtins__']) is vars(builtins)
from io import BytesIO, StringIO
pp = pprint.PrettyPrinter(indent=4)
import justext	# pip install justext
#import urllib.request
import requests	# pip3 install --upgrade requests
#from urllib.parse import urlparse# pip3 install --upgrade urlparse
#import urllib # url=urllib.unquote(url).decode('utf8')
import urllib3
urllib3.disable_warnings()
#urllib3.disable_warnings()
import signal
from contextlib import contextmanager
from bs4 import BeautifulSoup, Comment
import bleach #https://pypi.org/project/bleach/

... [truncated, 138 more lines] ...