Automatic Classification of Tang Poetry Themes
HU Renfe · Beijing Daxue Xuebao. Zirankexueban · 2015
The authors propose a text classification model for Tang poetry. Firstly seven categories are defined for poetry themes: love and marriage, frontier war, friendship and farewell, journey and homesick, landscape and countryside, history and nostalgia, others. 500 Tang poems are selected as research samples, and they are represented in vectors with Vector Space Model(VSM). To reduce the vector dimensions, feature selection is made by Chi-square test. Two classifiers are built based on Naive Bayes and Support Vector Machine algorithms. The models perform well in classification experiment. Besides, the authors verify the positive effect of poetry titles, authors and types to poetry themes by text classification models, which could offer scientific reference to the related research of Tang poetry.