& 0.44 & 0.43\
15 & & [**All**]{} & 50% & 0.49 & 0.50 & **0.49\
16 & [emot]{} & None& 53% & 0.42 & 0.52 & 0.44\
17 & & [**Open**]{} & 56% & 0.54 & 0.53 & **0.51\
18 & & [**Conscientious**]{} & 53% & 0.49 & 0.51 & **0.48\
19 & & Extrovert & 49% & 0.43 & 0.47 & 0.44\
20 & & [**Agreeable**]{} & 52% & 0.48 & 0.50 & **0.48\
21 & & Neurotic & 53% & 0.43 & 0.51 & 0.44\
22 & & [**All**]{} & 56% & 0.55 & 0.57 & **0.56\
********************

Our dataset consists of 5185 items, with 3185 responses to the balanced [mono]{} summaries, 1020 responses to [fact]{}, and 980 responses to [emot]{}. We first applied 10-fold cross-validation with Naive Bayes, Nearest Neighbor, AdaBoost, and JRIP, from the Weka toolkit [@WittenFrank05]. Overall, Naive Bayes had the most consistent scores with our feature sets, thus we only report Naive Bayes experimental results below.

Seven feature sets were created for each of the three {[mono]{}, [ fact]{}, [emot]{}} datasets. [*None*]{} feature sets are the no-personality baseline within each dataset. The baseline features contain [**no information**]{} about the personality of the unseen 