In this study, network and main path analyses were conducted on 1856 studies related to
text mining, by extracting keywords and citation information from the text of each paper. Our …

Purpose The present article's primary purpose is the topic modeling of the global
coronavirus publications in the last 50 years. Design/methodology/approach The present …

Identification of emerging issues has garnered growing interest as a way to establish
proactive policy formulation. However, in fisheries research, analyzing such issues has …

Text mining is a research method that can be used to detect research trends and
developments in various fields. In this study, an automated textual analysis tool (Voyant …

In this paper, we apply KeyBERT (Keyword extraction with Bidirectional Encoder
Representations of Transformers) algorithm-driven topic extraction and topic frequency …

The increasing concern of climate change and unstable oil prices induce the development of
technological fuel in automobile industry. To investigate such a rapidly changing path …

In this paper, insights and data analyses are presented for tracking the use of phrases in the
representation of key domain areas in scientific publications, over time. A domain refers to a …

본 논문에서는 딥러닝 및 강화학습 연구에 대해 KeyBERT (Keyword extraction with
Bidirectional Encoder Representations of Transformers) 알고리즘 기반의 토픽 추출 및 토픽 …

In this paper, we propose antecedent factors that influence health promotion behaviors
among rural older adults by gender. The study analyzed data from the'Need Assessment …

In 2022, this journal achieved its highest Impact Factor to date. To clarify the factors
contributing to this achievement, we conducted an N-gram analysis using text-mining …