Reads feature values from the MRC database file in a hash table of homonyms, each
linking to a PoS tag, in turn linking to a hash table of feature counts.
Main method that initializes the parameters from the configuration file,
counts the features from the input text(s), run the specified Weka
models for this feature set for each Big Five personality traits, and
returns the personality score estimates to the standard output.
The program computes features described in (Mairesse & Walker, 2006)
given a text, and it runs Weka models on the features to produce
personality scores for all Big Five dimensions.