Style and Genre Classification by Means of Deep Textual Parsing
InIn this paper we show that using deep textual parsing, which is finding complex features such as syntactic and discourse structures of the text, helps to improve the quality of style and genre classification. These results confirm achievements of many researches that have many times stated that using syntactic or morphological pattern for style and genre classification results in poor precision and recall. The best practice so far is to use n-gram patterns for this type of text classification problem. Syntactic and discourse structures allow however to capture some style of genre specific pattern of texts and to reach average precision higher than 95% on binary multi-genre classification.