class_docstr: represents one extracted phrase
class_docstr_tok: ["represents","one","extracted","phrase"]
code: def __init__(self, text, rank, count, phrase_list):
      self.text = text
      self.rank = rank
      self.count = count
      self.chunks = [p.chunk for p in phrase_list]
  
imports: from .base import BaseTextRank
  from .positionrank import PositionRank
  from collections import defaultdict, OrderedDict
  from math import sqrt
  from spacy.tokens import Doc
  import graphviz
  import json
  import logging
  import networkx
  import os
  import os.path
  import re
  import spacy
  import string
  import sys
  import time
  import unicodedata
label_desc: Use image node_id 1 to create a new Phrase object  with example: obj = Phrase(text, rank, count, phrase_list)