class_docstr: This creates a semiotic square where the complex term is considered the "top" category, the
  neutral term is the "bottom" category, the positive dexis is the "left" category, and the
  negative dexis is the "right" category.
class_docstr_tok: ["This","creates","a","semiotic","square","where","the","complex","term","is","considered","the","``","top","''","category",",","the","neutral","term","is","the","``","bottom","''","category",",","the","positive","dexis","is","the","``","left","''","category",",","and","the","negative","dexis","is","the","``","right","''","category","."]
code: def _get_default_b_label(self):
      return ""
  
file_path: scattertext/scattertext/semioticsquare/FourSquareAxis.py
imports: import numpy
  from scattertext.semioticsquare import SemioticSquare
  from scattertext.termranking import AbsoluteFrequencyRanker
  from scattertext.termscoring.RankDifference import RankDifference
label_desc: Use image node_id 7 for calling the FourSquareAxes obj's underlying member method code with example usage: obj._get_default_b_label() and returns: str