A review and prospect of Chinese word meaning system research in the past three decades: based on knowledge graph visualization and bibliometric analysis

Ying Ling; Zhaocong Zeng; Chen Lu

doi:10.1117/12.3014211

8 December 2023 A review and prospect of Chinese word meaning system research in the past three decades: based on knowledge graph visualization and bibliometric analysis

Ying Ling, Zhaocong Zeng, Chen Lu

Author Affiliations +

Proceedings Volume 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023); 129430C (2023) https://doi.org/10.1117/12.3014211
Event: International Workshop on Signal Processing and Machine Learning (WSPML 2023), 2023, Hangzhou, ZJ, China

Abstract

This article utilizes the "academic journals" on CNKI as the data source, employing tools such as CiteSpace, to conduct a bibliometric analysis of Chinese word meaning research. The goal is to identify the core authors, keyword hotspots, and keyword emergence in the research on Chinese word meaning system over the past thirty years. Combining with conventional literature surveys, it organizes the main contents of Chinese word meaning system research, which helps to discover the field of lexical system research, promotes the study of Chinese history, and contributes to the compilation and revision of Chinese dictionaries.

Citation Download Citation

Ying Ling, Zhaocong Zeng, and Chen Lu "A review and prospect of Chinese word meaning system research in the past three decades: based on knowledge graph visualization and bibliometric analysis", Proc. SPIE 12943, International Workshop on Signal Processing and Machine Learning (WSPML 2023), 129430C (8 December 2023); https://doi.org/10.1117/12.3014211

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