code: def load_url_content(url_list):
      """
      Load articles content into a list of docs (texts)
  
      Args:
          url_list (List[String]): A list of urls
  
      Returns:
          A list of documents (List[String])
      """
      files_content = []
      url = ""
      try:
          for url in url_list:
              try:
                  url = str(url)
                  logger.info("loading %s", url)
                  article = Article(url)
                  article.download()
                  article.parse()
                  files_content.append(
                      article.title + " " + article.text
                  )
              except Exception as e:
                  logger.error(str(e))
      except Exception as e:
          logger.error(
              "Error in load_text: %s, for url: %s", str(e), str(url)
          )
  
      return files_content
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import argparse
  import csv
  import logging
  import os
  import sys
  from multiprocessing import Pool
  from os import makedirs, path
  from nlp_architect import LIBRARY_OUT
  from nlp_architect.utils.embedding import FasttextEmbeddingsModel
  from nlp_architect.utils.io import validate_existing_directory
  from nlp_architect.utils.text import SpacyInstance
  from .np_scorer import NPScorer
label_desc: Use image node_id 3 for calling a global function with example usage: load_url_content(url_list) and returns: files_content