![]() ![]() In response to this challenge, several studies focusing on text mining of classical Chinese poetry have been undertaken. This characteristic consequently brings about complex variations in word meanings, posing substantial challenges to the quantitative mining of knowledge and information in classical poetry texts. However, compared to Indo-European literary traditions, Chinese ancient poetry, which belongs to the Sino-Tibetan language family, often relies on word order and function words as the primary means of expressing grammatical meaning. ![]() ![]() Undertaking digital humanities research using Chinese classical poetry as the material holds crucial significance in uncovering the value of world cultural heritage. In this regard, China's ancient poetry, with its rich history spanning three thousand years and a vast corpus of millions of samples, undoubtedly holds a significant position within the world's literary treasury. These studies demonstrate that literary works serve as significant carriers that reflect landscape features, human activities, and local elements. Alex employed natural language processing techniques to create a geographical resolver and validated it using Edinburgh literary texts. Hussain conducted textual analysis of ancient Malay manuscripts, folklore, and traditional poetry to uncover the landscape elements of Malay culture. For instance, Baumard explored the cultural evolution of love in literary history by establishing a database of ancient world literature novels. Numerous scholars consider literary works as crucial materials for digital humanities research. As an essential component of digital humanities research, text mining leverages information retrieval and extraction, computational linguistics, and natural language processing techniques to enable the efficient conversion of unstructured textual data and the fruitful extraction of valuable insights. Statistical data reveals that there are currently over 180 distinguished institutions or projects worldwide bearing the esteemed moniker of “digital humanities,” and scholars from diverse domains, including archaeology, history, literature, and art, are actively propelling the advancement and prominence of this field. ![]() Currently, digital humanities has sparked a vibrant intellectual revolution, heralding a reinvigorated mode of knowledge production. In comparison to traditional approaches, Digital humanities emphasizes the comprehensive analysis of vast repositories of humanistic and social science resources, with a keen focus on uncovering macroscopic and trend-driven patterns. This study broadens the scope of exploring the cultural heritage value of Tang poetry literature and provides practical guidance for the development of cross-regional heritage corridors. The constructed framework greatly enhances the efficiency and accuracy of Tang poetry text mining, it enables the extraction of natural and cultural landscape spatial imagery along the Tang Poetry Road, the construction of scene depictions, the identification of key regions within the scenes, and the derivation of location-specific strategies. The framework exhibits three key innovations: (1) a text processing approach that treats individual characters as semantic units in ancient poetry texts, (2) a combined approach of Python programming techniques and Gephi visualization tool for social network analysis, and (3) a study focusing on the integration of textual and spatial aspects of literary landscape heritage corridors at the urban cluster scale. In this study, taking the 1589 Tang poems from the Tang Poetry Road in Eastern Zhejiang as an example, we constructed a research framework that explores the aesthetics of classical Chinese poetry landscapes and spatial imagery at the urban agglomeration scale by utilizing geographic and analytical tools such as Python programming, Gephi co-occurrence semantic networks, and GIS kernel density analysis. Chinese classical poetry, as a treasure in the world’s artistic treasury, holds significant value in recognizing the heritage of world culture. The burgeoning field of digital humanities has provided important modern technological means for text mining in literary works. ![]()
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