Returns
		-------

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(scoredf)