Analysis of Poetry Style Based on Text Classification Algorithm

Abstract

In order to realize the effect of intelligent poetry style analysis, this paper applies the text classification algorithm to the poetry style analysis, combines the knowledge representation algorithm to perform text classification and recognition, improves the algorithm, and applies it to the poetry style analysis model. Moreover, this paper combines intelligent algorithms to construct a poetry style analysis system, constructs the system’s functional modules, preprocesses the poetry documents in the corpus, and maps them to the vector space that can be directly processed by the computer. In addition, after constructing the system model, this paper verifies the poetry style analysis system based on the text classification algorithm through simulation experiments. From the research results, the effect of the poetry style analysis method based on the text classification algorithm proposed in this paper is very good, which meets the actual needs of poetry style analysis.

Methods of Analysis of Lyrical Texts in Foreign Literature Classes in Higher Educational Institutions (Based on the Works of Nazim Hikmet)

“…Moqaddam attempts to find a connection between the degree of interest in poetry and the degree of sensitivity, in particular, among college students [20]. In order to analyse the style of poetry, C. Wang uses an improved text classification algorithm, intelligent algorithms are actively used to design a poetic style analysis system, functional modules are created, and preprocessing of poetic documents in the corpus is performed [21].…”