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Academic Journal of Humanities & Social Sciences, 2023, 6(13); doi: 10.25236/AJHSS.2023.061313.

A Comprehensive Evaluation Method for Cultural Value of Literary Works Based on Artificial Intelligence Technology

Author(s)

Chen Xue

Corresponding Author:
Chen Xue
Affiliation(s)

Shaoxing University Yuanpei College, Shaoxing, Zhejiang, 312000, China

Abstract

The development of artificial intelligence technology has brought new ideas and methods to the research and evaluation of literary works. This paper will introduce a comprehensive evaluation method of cultural value of literary works based on artificial intelligence technology. This method combines traditional research methods of humanities and modern computer science and technology, and analyzes and evaluates various aspects of literary works through intelligent algorithms, including text content, emotional color, text style, etc. The experiment proves that the results of feature extraction and emotion analysis of four famous works and three hundred lines of Tang poetry are summarized, and data visualization is used. Finally, this article will provide a detailed introduction to the implementation process and specific practical effects of this method, and explore its application prospects in the research and evaluation of literary works. In artificial intelligence, three technologies are used to analyze the comprehensive evaluation results data visualization and conduct comprehensive evaluation through data preprocessing feature extraction and aesthetic standards. The experimental results demonstrate that the average comprehensive evaluation of literary works' cultural value by artificial intelligence is 8% longer.

Keywords

Cultural Value of Literary Works, Comprehensive Evaluation, Artificial Intelligence, Data Mining

Cite This Paper

Chen Xue. A Comprehensive Evaluation Method for Cultural Value of Literary Works Based on Artificial Intelligence Technology. Academic Journal of Humanities & Social Sciences (2023) Vol. 6, Issue 13: 81-87. https://doi.org/10.25236/AJHSS.2023.061313.

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