Taxonomy and Evaluation of Markers for Computational Stylistics

Foaad Khosmood and Robert Levinson
International Conference on Artificial Intelligence (ICAI)
Las Vegas, Nevada
July, 2011
Currently, stylistic analysis of natural language texts is achieved through a wide variety of techniques containing many different algorithms, feature sets and collection methods. Most machine-learning methods rely on feature extraction to model the text and perform classification. But what are the best features for making style based distinctions? While many researchers have developed particular collections of style features – called style markers – no definitive list exists.
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