"Data Mining and Analysis of Research in Hong Kong "Huashang Daily" Based on LDA Topic Model"
Year: 2025
Type: conference-paper
Abstract: This study aims to explore the application of computer technology in data mining within the humanities domain, particularly focusing on old newspapers. It seeks to uncover historical figures associated with the Hong Kong “Huashang Daily” and their research topic, thereby enriching digital historiography with a more comprehensive knowledge base and research pathways. Using the commemorative collection published by the Guangdong History Society of “Huashang Daily” as the corpus, this research applies the text analysis method based on the LDA topic model for entity recognition of historical figures and topic induction. A total of 413 historical figures associated with “Huashang Daily” and five topic were identified. The study demonstrates that integrating computer technology for data mining and knowledge discovery in historiography can effectively and rapidly enrich historical materials, facilitating a more comprehensive understanding and mastery of the relevant historical content.
Authors: Tianzhang Li, Liping Xiao, Jingguang Li
Institution: Jinan University
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4412923773