A small empirical study reports that bigram POS features with a CNN give higher author classification accuracy (59%) than unigram POS features with a feedforward network (44%), but the comparison is confounded and not statistically validated.
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Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
A small empirical study reports that bigram POS features with a CNN give higher author classification accuracy (59%) than unigram POS features with a feedforward network (44%), but the comparison is confounded and not statistically validated.