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.
Highlights
At present, a lot of progress has been made in natural language processing technology
In view of the difference between ancient poetry and modern Chinese, from the perspective of computer, integrated data mining, genetic algorithm, and other technologies and resources such as HowNet, it focuses on the application of text classification technology in the classification of poetry style
Is article combines the intelligent computer algorithm to apply the text classification algorithm to the poetry style analysis and builds an intelligent classification system, which lays the foundation for the intelligent classification of poetry
Summary
A lot of progress has been made in natural language processing technology. There are no clear quantitative rules and no formal rules It can only rely on the text content of the poem to determine the style. This paper proposes a model framework for computing the style of Chinese classical poetry based on machine learning. Is research is of great significance for expanding the application field of machine learning, for the informatization and excavation of traditional poetry, and for the language understanding of poetry and the computer-aided research of various literary works. In view of the difference between ancient poetry and modern Chinese, from the perspective of computer, integrated data mining, genetic algorithm, and other technologies and resources such as HowNet, it focuses on the application of text classification technology in the classification of poetry style. Is article combines the intelligent computer algorithm to apply the text classification algorithm to the poetry style analysis and builds an intelligent classification system, which lays the foundation for the intelligent classification of poetry
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