Unraveling reported dreams with text analytics
Table 5: Results from the entity-based coherence model as evaluated by a binary discrimination test.
['Dataset', 'Accuracy', 'F-score']
All achieved results are substantially lower than the scores reported by Elsner and Charniak who report scores of 86% F-score when training on Wall Street Journal ( WSJ) newspaper text and testing on a held-out set from the same corpus. As WSJ consist of financial news paper articles, we can expect a drop in performance when switching to a completely different textual genre of dreams and personal stories.