Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008) (2008)
Waikoloa, Big Island, Hawaii
Jan. 7, 2008 to Jan. 10, 2008
This paper investigates the correlation between features of three types (visual, stylistic and topical types) and genre classes. The majority of previous studies in automated genre classification have created models based on an amalgamated representation of a document using a combination of features. In these models, the inseparable roles of different features make it difficult to determine a means of improving the classifier when it exhibits poor performance in detecting selected genres. In this paper we use classifiers independently modeled on three groups of features to examine six genre classes to show that the strongest features for making one classification is not necessarily the best features for carrying out another classification.
Y. Kim and S. Ross, "Examining Variations of Prominent Features in Genre Classification," Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)(HICSS), Waikoloa, Big Island, Hawaii, 2008, pp. 132.