class_docstr: Reduce corpus to the X most important terms.  Great for plotting a big corpus.
  Will return between X/2 and X terms.
  
  Returns the terms with the X highest absolute scores, background corpus scores, and term frequencies.
code: def _get_score_terms(num_term_to_keep, term_doc_freq):
      sorted_tdf = term_doc_freq.sort_values(
          by="score", ascending=False
      )
      return sorted_tdf.iloc[
          : int(0.25 * num_term_to_keep)
      ].index.union(
          sorted_tdf.iloc[-int(0.25 * num_term_to_keep) :].index
      )
  
label_desc: Use image node_id 5 for calling the AutoTermSelector obj's underlying member method code with example usage: obj._get_score_terms(num_term_to_keep, term_doc_freq) and returns: sorted_tdf