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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


Chen Xue

Corresponding Author:
Chen Xue

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


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.


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.


[1] Enholm I M, Papagiannidis E, Mikalef P, et al. Artificial intelligence and business value: A literature review. Information Systems Frontiers, 2022, 24(5): 1709-1734.

[2] Albahri O S, Zaidan A A, Albahri A S, et al. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. Journal of infection and public health, 2020, 13(10): 1381-1396.

[3] Sun Z, Anbarasan M, Praveen Kumar D. Design of online intelligent English teaching platform based on artificial intelligence techniques. Computational Intelligence, 2021, 37(3): 1166-1180.

[4] Han E R, Yeo S, Kim M J, et al. Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review. BMC medical education, 2019, 19(1): 1-15.

[5] Pitardi V, Marriott H R. Alexa, she's not human but… Unveiling the drivers of consumers' trust in voice‐based artificial intelligence. Psychology & Marketing, 2021, 38(4): 626-642.

[6] Wamba-Taguimdje S L, Fosso Wamba S, Kala Kamdjoug J R, et al. Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 2020, 26(7): 1893-1924.

[7] Demchenko I, Maksymchuk B, Bilan V, et al. Training future physical education teachers for professional activities under the conditions of inclusive education. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2021, 12(3): 191-213.

[8] Samara D, Magnisalis I, Peristeras V. Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology, 2020, 11(2): 343-367.

[9] Gaur L, Afaq A, Singh G, et al. Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: a review and research agenda. International Journal of Contemporary Hospitality Management, 2021, 33(11): 4079-4098.

[10] Larson D B, Harvey H, Rubin D L, et al. Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations. Journal of the American College of Radiology, 2021, 18(3): 413-424.

[11] Bin Y, Mandal D. English teaching practice based on artificial intelligence technology. Journal of Intelligent & Fuzzy Systems, 2019, 37(3): 3381-3391.

[12] Susilawati E, Lubis H, Kesuma S, et al. Antecedents of Student Character in Higher Education: The role of the Automated Short Essay Scoring (ASES) digital technology-based assessment model. Eurasian Journal of Educational Research, 2022, 98(98): 203-220.

[13] Munim Z H, Dushenko M, Jimenez V J, et al. Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions. Maritime Policy & Management, 2020, 47(5): 577-597.

[14] Eriksson T, Bigi A, Bonera M. Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The TQM Journal, 2020, 32(4): 795-814.

[15] Pillai R, Sivathanu B. Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 2020, 27(9): 2599-2629.