code: def segment(self, text):
      n = len(text) - 1
      count = 2**n
      sequences = map(lambda x: bin(x)[2:].zfill(n), range(count))
      segmentations = []
      for s in sequences:
          segmentation = []
          begin = 0
          for i in range(n):
              end = i + 1
              if s[i] == "1":
                  segmentation.append("".join(text[begin:end]))
                  begin = end
          segmentation.append("".join(text[begin : end + 1]))
          segmentations.append(segmentation)
      return segmentations
  
imports: from sematch.utility import FileIO
  from nltk.stem import WordNetLemmatizer
  from nltk.corpus import wordnet
  import nltk
  from collections import Counter
  import itertools
  import string
  import re
label_desc: Use image node_id 5 for calling the HashtagMatch obj's underlying member method code with example usage: obj.segment(text) and returns: segmentations