code: def get_temporal_score_df(self):
  		'''
  		Returns
  		-------
  
  		'''
  		scoredf = {}
  		tdf = self.term_ranker(self.corpus).get_ranks()
  		for cat in sorted(self.corpus.get_categories()):
  			if cat >= self.starting_time_step:
  				negative_categories = self._get_negative_categories(cat, tdf)
  				scores = self.term_scorer.get_scores(
  					tdf[cat + ' freq'].astype(int),
  					tdf[negative_categories].sum(axis=1)
  				)
  				scoredf[cat + ' score'] = scores
  				scoredf[cat + ' freq'] = tdf[cat + ' freq'].astype(int)
  		return pd.DataFrame(scoredff get_temporal_score_df(self):
  		'''
  		Returns
  		-------
  
  		'''
  		scoredf = {}
  		tdf = self.term_ranker(self.corpus).get_ranks()
  		for cat in sorted(self.corpus.get_categories()):
  			if cat >= self.starting_time_step:
  				negative_categories = self._get_negative_categories(cat, tdf)
  				scores = self.term_scorer.get_scores(
  					tdf[cat + ' freq'].astype(int),
  					tdf[negative_categories].sum(axis=1)
  				)
  				scoredf[cat + ' score'] = scores
  				scoredf[cat + ' freq'] = tdf[cat + ' freq'].astype(int)
  		return pd.DataFrame(scoredf)
docs: Returns
  		-------