code: def _register_document(self, parsed_text, row):
      self._term_doc_mat_fact._register_doc(
          X_factory=self.X_factory,
          mX_factory=self.mX_factory,
          document_index=row.name,
          parsed_text=parsed_text,
          term_idx_store=self.term_idx_store,
          metadata_idx_store=self.metadata_idx_store,
      )
      for (
          term,
          val,
      ) in self._term_doc_mat_fact._feats_from_spacy_doc.get_row_metadata(
          parsed_text, row
      ).items():
          self.mX_factory[
              row.name, self.metadata_idx_store.getidx(term)
          ] = val
  
imports: import numpy
  import pandas
  from scattertext.AsianNLP import chinese_nlp
  from scattertext.CSRMatrixTools import CSRMatrixFactory
  from scattertext.TermDocMatrix import TermDocMatrix
  from scattertext.TermDocMatrixFactory import TermDocMatrixFactory
  from scattertext.TermDocMatrixWithoutCategories import TermDocMatrixWithoutCategories
  from scattertext.indexstore.IndexStore import IndexStore
label_desc: Use image node_id 4 for calling the ParsePipelineFactoryWithoutCategories obj's underlying member method code with example usage: obj._register_document(parsed_text, row) without return types