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Journal articles on the topic 'Keywords; research'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Vie, Stephanie. "Keywords: Qualitative Research." Community Literacy Journal 5, no. 1 (2010): 175–80. http://dx.doi.org/10.1353/clj.2010.a471052.

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Yodprechavigit, Krisanapong, and Sukree Sinthupinyo. "Detecting Upcoming Patent Keywords by Predicting Keyword Trends Using Patent Keyword Network." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 18, no. 2 (2024): 195–206. http://dx.doi.org/10.37936/ecti-cit.2024182.255029.

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In this ever-changing technological landscape, the ability to quickly predict technological trends becomes crucial for any company or institute engaged in informed decision-making and strategic planning. Data for predicting technological trends can come from various sources such as patent data, which is easily accessible to the public due to the nature of patents. This research is aimed at patent analysis, focusing on combining the keyword- based method, social network analysis (SNA) method, and neural network prediction to propose a feasible keyword trend prediction method based on patent ana

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Lepecki, André. "Dance Discourses: Keywords In Dance Research." Dance Research Journal 44, no. 1 (2012): 95–99. http://dx.doi.org/10.1017/s0149767712000010.

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The formation of what Randy Martin has called “critical dance studies” (1998) has gained increased momentum over the past decade. Martin's notion of critical dance studies clarified how dance scholarship was being reshaped by the explicit inclusion of critical theory in its methodologies and epistemologies. One of the major consequences for dance studies in embracing critical theory was the identification of dancing and choreographic practices as being also theory. Understanding dance as theory is not equivalent to seeing dance as the sole provider of the theoretical tools it needs for its own

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Lee, Danielle. "Analyzing Research Productivity and Keywords of Korean ‘Art’ Research." Korean Society of Science & Art 39, no. 2 (2021): 303–14. http://dx.doi.org/10.17548/ksaf.2021.03.30.303.

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Pearce, Lynne. "Research terms explained from keywords to RCTs." Nursing Older People 36, no. 5 (2024): 16–17. http://dx.doi.org/10.7748/nop.36.5.16.s7.

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Shimbaru, Toshiki, and Naoto Kai. "Comparison of Research Performance by Institute based on Research Keywords." International Journal of Institutional Research and Management 7, no. 1 (2023): 1. http://dx.doi.org/10.52731/ijirm.v7.i1.778.

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Pojanapunya, Punjaporn. "Clustering Keywords to Identify Concepts in Texts: An Analysis of Research Articles in Applied Linguistics." rEFLections 22 (February 17, 2018): 55–70. http://dx.doi.org/10.61508/refl.v22i0.112328.

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Keyword analysis is one of the most widely used methods in corpus linguistics. The method is used to generate keywords which provide an indication of concepts in texts or a corpus. Keyword analysis tools commonly produce resulting keywords presented as a list which rather poorly indicates what the corpus is about since it typically requires analysts’ knowledge on conceptual associations between keywords. Therefore, common follow-up methods of keyword analysis are to examine concordances, collocational patterns, and some other patterns of associations between keywords and contexts. This study f

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Kim, Ae-Kyung. "Keyword Network Analysis of Research Trends in Makeup." Asian Journal of Beauty and Cosmetology 22, no. 3 (2024): 415–25. http://dx.doi.org/10.20402/ajbc.2024.0034.

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Purpose: This study aims to identify research on makeup-related topics from the past decade using keyword network analysis.Methods: This study used keyword network analysis to extract data from the Korea Citation Index journal database of the National Research Foundation of Korea. A total of 585 papers related to makeup, published between 2013 and 2022, were used for the analysis.Results: An examination of the frequency of makeup-related keywords indicated that “image” displayed the highest frequency, followed by “art makeup,” “design,” “cosmetics,” “color,” and “semi-permanent makeup.” The st

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Ni, Pin, Yuming Li, and Victor Chang. "Research on Text Classification Based on Automatically Extracted Keywords." International Journal of Enterprise Information Systems 16, no. 4 (2020): 1–16. http://dx.doi.org/10.4018/ijeis.2020100101.

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Automatic keywords extraction and classification tasks are important research directions in the domains of NLP (natural language processing), information retrieval, and text mining. As the fine granularity abstracted from text data, keywords are also the most important feature of text data, which has great practical and potential value in document classification, topic modeling, information retrieval, and other aspects. The compact representation of documents can be achieved through keywords, which contains massive significant information. Therefore, it may be quite advantageous to realize tex

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Komleh, Ramin Abolghasemi. "Investigation of Relationship Between Google Cost-Per-Click and Search-Volume on Keyword of Chicago Tours." Journal of Information Systems and Informatics 5, no. 3 (2023): 1002–19. http://dx.doi.org/10.51519/journalisi.v5i3.518.

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Pay-per-click is one of common and important ways in online advertising through Google; but some keywords are usually expensive and this issue is visible through Google cost-per-click in Google keyword planner tool. It has done many research work in Google advertising formats, but place of studies in field of relationship between Google cost-per-click and keyword search-volume, especially in tourism area is blank. This paper tries to answer of this main question that is there a significant relationship between cost-per-click and keyword search-volume and the number of keyword's word? In other

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Yun, An-Soon, and Hyo-Young Park. "Emotional Intelligence Research Trend Analysis: Using Keyword Network Analysis." Korean Journal of the Human Development 31, no. 1 (2024): 67–84. http://dx.doi.org/10.15284/kjhd.2024.31.1.67.

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The purpose of this study is to analyze trends in emotional intelligence research conducted in Korea. For this purpose, we collected papers using major online sites and in-tegrated papers by excluding duplicate papers. The integrated data went through a pre-processing process based on data cleaning, and keywords were extracted. The frequency of appearance of papers for each keyword was checked, and the degree centrality, betwe-enness centrality, closeness centrality, and eigenvector centrality of the keyword network were examined. As a result of the study, ‘control’, ‘infants’, ‘education’, an

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Kim, Min-Chang. "Exploring the Keyword Network Analysis and Research Trends for Sustainable Development of Paralympic Research: Based on Changes in Classification." Applied Sciences 13, no. 5 (2023): 3050. http://dx.doi.org/10.3390/app13053050.

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This study aims to identify an overall keyword network by drawing on core keywords in Paralympic studies and analyzing the relationships. It also aims to provide information on the changes in Paralympic study trends through a time series analysis to understand change, according to the application of a new classification (evidence-based classification). This study made a bibliographic list of 1613 studies by collecting studies published between 2003 and 2022 using keyword network analysis (KNA). By refining to exclude unsuitable studies, 1404 studies and 6414 keywords were used for the analysis

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Güven, Esra, Mustafa Hamalosmanoğlu, Zehra Kaplan, and Serdar Varinlioğlu. "Analysis of keywords used in environmental education research." Pegem Eğitim ve Öğretim Dergisi 4, no. 3 (2014): 73–82. http://dx.doi.org/10.14527/pegegog.2014.017.

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The purpose of this study is to examine keywords in articles and dissertations published in the field of environmental education. The study was carried out on 48 articles and 73 dissertations published between 2007-2011 in the field of environmental education. The data of this study were collected from document analysis. These collected data were analyzed from content analysis. In this study, it was seen that 192 distinct keywords were used in examined articles and dissertations, "environmental education" (f=76), "environment" (f=20), "attitude toward the environment" (f=19) and "environmental

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Li, Ya Min, and Xian Huan Zhang. "The Research and Implementation of Keyword Extraction Technology." Applied Mechanics and Materials 644-650 (September 2014): 2003–8. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2003.

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Keyword extraction plays an important role in abstract, information retrieval, data mining, text clustering etc. Extracting the keywords from a document can increases the efficiency of retrieval, thus provide great help to efficiently organize the resource. Few writers on the Internet have given the keywords of a document. Artificially extracting the keywords of a document is a great deal of work, so we need a method of extracting the keywords automatically. The paper constructing a verb, function words, stop words etc. small library from the perspective of the Chinese part of speech, realize

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Isenberg, Petra, Tobias Isenberg, Michael Sedlmair, Jian Chen, and Torsten Moller. "Visualization as Seen through its Research Paper Keywords." IEEE Transactions on Visualization and Computer Graphics 23, no. 1 (2017): 771–80. http://dx.doi.org/10.1109/tvcg.2016.2598827.

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Park, Dongpill, and JiHye Yang. "Analysis of ‘Tamna Sullyeokdo’ Research Trends using Keyword Network Analysis." Association of Korean Cultural and Historical Geographers 36, no. 3 (2024): 59–73. https://doi.org/10.29349/jchg.2024.36.3.59.

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This study was conducted to identify the research trends of previous studies on the topic of Tamna Sullyeokdo using 75 studies. Keyword network analysis, a methodology that identifies the importance of keywords and relationships between keywords based on the frequency of occurrence and co-occurrence of keywords extracted from each study was used as a methodology for analysis. The research results showed that the most frequently occurrence keyword was ‘Tamna Sullyeokdo’ was the highest, and the degree centrality, closeness centrality, and betweenness centrality were also highest. The significan

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Zhang, Juan, Qi Yu, Fashan Zheng, Chao Long, Zuxun Lu, and Zhiguang Duan. "Comparing keywords plus of WOS and author keywords: A case study of patient adherence research." Journal of the Association for Information Science and Technology 67, no. 4 (2015): 967–72. http://dx.doi.org/10.1002/asi.23437.

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Cantos‐Mateos, G., B. Vargas‐Quesada, Z. Chinchilla‐Rodríguez, and M. A. Zulueta. "Stem cell research: bibliometric analysis of main research areas through KeyWords Plus." Aslib Proceedings 64, no. 6 (2012): 561–90. http://dx.doi.org/10.1108/00012531211281698.

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Ozek, Burcu, Zhenyuan Lu, Fatemeh Pouromran, Srinivasan Radhakrishnan, and Sagar Kamarthi. "Analysis of pain research literature through keyword Co-occurrence networks." PLOS Digital Health 2, no. 9 (2023): e0000331. http://dx.doi.org/10.1371/journal.pdig.0000331.

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Pain is a significant public health problem as the number of individuals with a history of pain globally keeps growing. In response, many synergistic research areas have been coming together to address pain-related issues. This work reviews and analyzes a vast body of pain-related literature using the keyword co-occurrence network (KCN) methodology. In this method, a set of KCNs is constructed by treating keywords as nodes and the co-occurrence of keywords as links between the nodes. Since keywords represent the knowledge components of research articles, analysis of KCNs will reveal the knowle

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Oh, Yun-Kyoung. "Analysis of Research Trends in Skin Care using Keyword Network Analysis." Journal of the Korean Society of Cosmetology 28, no. 6 (2022): 1308–17. http://dx.doi.org/10.52660/jksc.2022.28.6.1308.

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This study tried to examine the research trends related to skin care by using keyword network analysis on data extracted from the KCI journal D/B provided by the National Research Foundation of Korea. Text refinement was performed by extracting key words from a total of 504 papers published from 2011 to August 2022. The tools used for analysis are Textom and UCINET6. As a result, first, the keyword frequency was ‘cosmetics’ the most, followed by‘appearance management behavior’, ‘skin care shop’, ‘satisfaction’, ‘female’, ‘medical’, ‘service’, and ‘acne’. Second, as a result of examining the fr

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Nam, Gue, and Youjung Kim. "Analysis of research trends on children's picture books using keyword network analysis." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 7 (2023): 641–62. http://dx.doi.org/10.22251/jlcci.2023.23.7.641.

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Objectives The purpose of this study is to analyze the research trends of early childhood and picture books using keyword network analysis. Methods To this end, based on the academic database, keywords from 1,195 academic papers related to early childhood and picture books published from 2001 to 2020 were collected, and data analysis was conducted by keyword network analysis (keyword appearance frequency, connection centrality, and mediation centrality). Results First, from 2001 to 2020, creativity and pro-social behavior keywords among early childhood and picture book-related keyw

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Tripathi, Manorama, Sunil Kumar, S. K. Sonker, and Parveen Babbar. "Occurrence of author keywords and keywords plus in social sciences and humanities research : A preliminary study." COLLNET Journal of Scientometrics and Information Management 12, no. 2 (2018): 215–32. http://dx.doi.org/10.1080/09737766.2018.1436951.

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23

Swacha, Jakub. "Topic Evolution in the Research on Educational Gamification." Education Sciences 12, no. 10 (2022): 640. http://dx.doi.org/10.3390/educsci12100640.

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The research on educational gamification spans many topics of interest. As the total volume of research in this area has greatly increased in the last 10 years, it is interesting to see how the interest in the respective topics has changed over the same period. In this paper, we answer this question by means of keyword analysis performed on 7572 unique keywords extracted from 2203 papers. The obtained results reveal (1) the high popularity of keywords that are non-obviously relevant to gamification, (2) vast disproportions in the volume of research dedicated to different aspects of the same re

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Cho, Soo Jin, and Tae-Gang Kim. "A Study on Research Trends in 『Audiology and Speech Research』 Using Keyword Network Analysis." Audiology and Speech Research 19, no. 1 (2023): 28–42. http://dx.doi.org/10.21848/asr.220085.

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Purpose: The purpose of this study was to investigate the research trends of papers published in ‘Audiology and Speech Research’ and to obtain implications for the direction of research.Methods: Data were collected from 2005 to 2022 articles research information sharing service (RISS) which is provided by Korea education and Korea Citation Index (KCI). After extracting and cleansing keywords, the frequency, centrality, and visualization data analysis for keywords were performed using KrKwic & NodeXL programs.Results: According to the results of keyword frequency analysis, ‘hearing aid’ sho

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Zhang, Liping, Jing Li, and Song Li. "Research on Time-Aware Group Query Method with Exclusion Keywords." ISPRS International Journal of Geo-Information 12, no. 10 (2023): 438. http://dx.doi.org/10.3390/ijgi12100438.

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Aiming at the problem that the existing spatial keyword group query problem did not consider the query requirements with exclusion keywords and time attributes, a time-aware group query problem with exclusion keywords (TEGSKQ) is proposed for the first time. To solve this problem effectively, this paper proposes a query method based on the EKTIR-Tree index and dominating group (EKTDG). This method first proposes the EKTIR-tree index, which incorporates Huffman coding and integrates Bloom filters to deal with excluded keywords in order to improve the hit rate of keyword queries, significantly i

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Sugiyanto, Eko, Edi Purwanto, Indah Rahmadani, et al. "Understanding Research Dynamics in Job Stress." International Journal of Religion 5, no. 6 (2024): 12–21. http://dx.doi.org/10.61707/2gpmrh71.

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The objective of this analysis is to conduct a bibliometric analysis to map the research on work stress. This will be done by employing quantitative methods such as network, overlay, and density cluster models to analyze the research on work stress over a span of 11 years. Data are extracted from the scientific literature in the Science Direct database using the keyword "job stress," in which a total of 180 relevant articles were identified. These articles were analyzed using algorithms in Vosviewer to identify common topics in stress research. The analysis revealed that work-related stress st

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Liwafa, Arizal, Bagong Suyanto, and Zuyyinna Choirunnisa. "Sustainable Competitive Advantage: A Literature Review and Future Research." RSF Conference Series: Business, Management and Social Sciences 3, no. 3 (2023): 428–39. http://dx.doi.org/10.31098/bmss.v3i3.707.

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Sustainable competitive advantage (SCA) is very important for companies in analyzing the quality of human resources and the company's environment that continues to change. Besides that, SCA is also able to provide short-term revenue increases and product advantages to customers. This research aims to map the topic of SCA in various scientific fields by visualizing it into a landscape map to see its development and novelty using bibliographic data. Thus, the novelty of research related to strategic management from previous studies can be known with certainty. This research is quantitative resea

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Jung, Young Son. "Research Trends in Unification Education using Keywords Network Analysis." Korean Association For Learner-Centered Curriculum And Instruction 20, no. 8 (2020): 325–35. http://dx.doi.org/10.22251/jlcci.2020.20.8.325.

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Meethan, Kevin. "Keywords in Qualitative Methods: A Vocabulary of Research Concepts." Sociological Research Online 12, no. 1 (2007): 199. http://dx.doi.org/10.1177/136078040701200105.

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Lewison, Grant. "Definition of Cancer Research: Journals, Titles, Abstracts or Keywords?" DESIDOC Journal of Library & Information Technology 31, no. 5 (2011): 333–39. http://dx.doi.org/10.14429/djlit.31.5.1189.

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Kim, Dong-geun, Junghwan Kim, and Hong-Gyu Choi. "Study on Academic Research Keywords Related to K-Dance." Journal of Digital Contents Society 25, no. 11 (2024): 3103–13. https://doi.org/10.9728/dcs.2024.25.11.3103.

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Ramos-Medina, Sonia Elizabeth. "Tax Management Research, Bibliometric Analysis Using Keywords and Abstracts." Journal of Sustainable Development and Green Technology 1, no. 1 (2023): 19–30. http://dx.doi.org/10.54216/jsdgt.010102.

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The challenges derived from tax operations in different jurisdictions make the management of tax obligations increasingly complex. Taking this into account, a bibliometric analysis is proposed to shed light on the content of the publications from a word analysis to identify research topics in a set of publications and establish relationships between concepts. The findings show a dominance of two large clearly segmented clusters: on the one hand, multinational companies trying to better manage their profits; and on the other, the Tax Agency trying to avoid tax evasion at all costs.

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Nagaratnam, Shalini, Ebrahim Nader Ale, and Muzafar Shah Habibullah. "A Bibliometric Analysis on "Fertility Rate" Research Trends." International Journal of Professional Business Review 1, no. 1 (2016): 1–14. https://doi.org/10.5281/zenodo.58318.

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The systematic literature search on the fertility rate was performed on articles from the Web of Science compiled by the Institute of Scientific Information (ISI) to provide major publication characteristics. All articles related to Fertility from year 1980 to 2011 were analyzed with the bibliometric approach using non-parametrics techniques. Total Citation, Citation per year and Cited References were significantly different between the 80’s, 90’s and 2000’s, with more than a 100% increase in the number of publication. The association between number of authors and citation pe

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Tulloch, Bonnie J., Michelle Kaczmarek, Saguna Shankar, and Lisa P. Nathan. "When words are key: negotiating meaning in information research." Journal of Documentation 80, no. 7 (2024): 187–205. http://dx.doi.org/10.1108/jd-05-2023-0103.

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PurposeThis project set out to explore information scholars’ perceptions of the influence of their keyword selections and the implications of their linguistic choices on possibilities for and perceptions of the field of Information Science. We trialed a narrative methodological approach to investigate the multiple stories told with specific keywords, how they relate to larger discourses within the field and the impact they have on the lives of information researchers.Design/methodology/approachThis paper draws on Arthur Frank’s narrative analysis to consider keywords as stories, which shape on

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ZHANG, JUNJUAN, and KISOON HAN. "Analysis of Creativity Research Trends in China Using Keyword Network Analysis." Korean Society for Creativity Education 24, no. 1 (2024): 13–39. http://dx.doi.org/10.36358/jce.2024.24.1.13.

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The purpose of this study is to analyze trends in creativity research in China using keyword network analysis. It aims to identify the characteristics of studies related to creativity conducted in China and provide implications for future research in this area. To achieve this, 1680 keywords were extracted from 427 papers, including dissertations and academic journal articles published on the Chinese academic paper site CNKI from 2010 to 2022. After refining the extracted keywords, a keyword matrix was constructed, and the keywords were analyzed using UCINET. The analysis revealed several find

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Kim, Hyunjung. "The JASIST Editorial Board Members' Research Areas and Keywords of JASIST Research Articles." Journal of the Korean Society for information Management 31, no. 3 (2014): 227–47. http://dx.doi.org/10.3743/kosim.2014.31.3.227.

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Merriam, Dan. "Key Words or Keywords." Compass: Earth Science Journal of Sigma Gamma Epsilon 84, no. 4 (2013): 6–7. http://dx.doi.org/10.62879/c10884774.

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Keywords are words or phrases which describe content. With the emergence of computerized data bases, keywords are important research tools for search engines, such as GeoRef. Keywords help to ‘tag’ relevant information within an article, and provide a researcher with useful clues to potential important and useful information.

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Sung, Hyeyeon, and Sungkyu Lee. "Analysis on Research Trend of Gaming Addiction using Keyword Network Analysis." Correction Welfare Society of Korea 84 (December 31, 2023): 29–55. http://dx.doi.org/10.35422/cwsk.2023.84.29.

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The purpose of this study is to suggest the direction of future studies on the prevention and treatment of gaming addiction by analyzing the trends in research related to gaming addiction for the last 10 years. To accomplish this purpose, this study analyzed publication trends in research related to gaming addiction by examining 175 studies published between 2013 and 2023. Particularly, a keyword network analysis was conducted using keywords extracted from these studies. The main results are as follows. First, the results of the keyword frequency analysis indicate that the most frequently occu

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Cao, Nan. "Research on the Impact of Social Media Keyword-based Recommendation Methods on Users." Lecture Notes in Education Psychology and Public Media 36, no. 1 (2024): 216–25. http://dx.doi.org/10.54254/2753-7048/36/20240463.

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The purpose of this study is to investigate the keyword-based recommendation strategy of social media and the impact of this recommendation strategy on user attitudes. In this study, three representative content creation social media platforms, Weibo, TikTok, and Bilibili, were selected to investigate their recommendation strategies, and a questionnaire was designed to simulate the content recommendation strategies of social media platforms after users input keywords to investigate users' attitudes towards keyword-based content recommendation strategies in social media. Through investigation,

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Abdi Khalife, Mehrzad, Anna Dunay, and Csaba Bálint Illés. "Bibliometric Analysis of Articles on Project Management Research." Periodica Polytechnica Social and Management Sciences 29, no. 1 (2020): 70–83. http://dx.doi.org/10.3311/ppso.15717.

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Project management, as a subsidiary of social science, is a vast and varied topic of the area of knowledge. In the past decades, many studies have compiled an immense amount of information for theoreticians and practitioners in this field. In this paper, traditional and novel methods of bibliometric analysis are introduced through a survey for analyzing the history of research in project management. This study focuses on the last four decades of publications on project management, from 1980 to 2019. In the survey, the number of publications, the countries of publication, the cooperating relati

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Lee, HooHee, Bo-Ra Jeon, and Hyoung Jin Won. "Research Trends in Catholic Education through Semantic Network Analysis." Korean Association for the Study of Religious Education 76 (March 31, 2024): 17–38. http://dx.doi.org/10.58601/kjre.2024.03.30.02.

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[Objective] In this study, we conducted an analysis of Catholic education research trends by utilizing multiple academic paper search engines. Through keyword searches such as ‘Catholic,’ ‘education,’ ‘Catholic education,’ and ‘faith education,’ we identified important keywords, centrality, and performed CONCOR analysis among the papers retrieved. This enabled us to gain insights into the research trends in Catholic education. Departing from conventional literature reviews, it aimed to explore the evolution of research in Catholic education, emphasizing the interrelationships among keywords th

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Seo, Bo Soon. "Keywords Network Analysis of Korean Research Trends on Child Abuse." Forum of Public Safety and Culture 20 (January 30, 2023): 159–80. http://dx.doi.org/10.52902/kjsc.2023.20.159.

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The purpose of this study was to visualize the paradigm and flow of child abuse studies in Korea, and to examine the concepts that were important. In this study, by examining trends in child abuse studies through keywords network analysis, the frequency trends and networks of keywords presented in previous studies were reviewed. Through this, I tried to provide implications for children's rights and comparison with other trend analysis researches. For this purpose, 5,813 keywords of 450 types from 1,203 research articles published from 2001 to 2022 were selected and analyzed using the UCINET6

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Kim, Kyeong-Ju, and Il-Bang Kim. "Research Trends of a Doctoral Dissertation Related to ‘Jeju Education’." Society for Jeju Studies 60 (August 31, 2023): 263–92. http://dx.doi.org/10.47520/jjs.2023.60.263.

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This study identified the trend of Jeju education-related research targeting doctoral dissertation. Doctoral dissertation were collected from ‘RISS’, ‘National Library of Korea’ and ‘The National Assembly Library’, 70 papers were selected by reviewing whether or not they were related to Jeju education. And For keyword analysis, 466 keywords were derived and analyzed. The research results are as follows. 1) The first doctoral dissertation related to Jeju education was published in 1990. And since 2012, the frequency of dissertations publication has increased.

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Nasrum, Akbar, and Agus Nasir. "Chamilo LMS Research Trend." International Journal of Business, Law, and Education 4, no. 2 (2023): 730–37. http://dx.doi.org/10.56442/ijble.v4i2.233.

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Chamilo is an open-source Learning Management System that is rarely known by campus communities in Indonesia, even though this LMS has been published for quite some time. Very little research is related to Chamilo compared to other LMS such as Moodle. This study will examine research trends over the past ten years using the Systematic Literature Review method. The subjects studied were taken from the Dimension and Scopus databases. The tools used are VoS Viewer and Mendeley software. The unit of analysis used is the "co-author," which is studied deductively. In addition, the type of "co-occurr

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Shin, Matthew Minsuk, Seunghye Jung, and Jin Sung Rha. "Study on Business Ecosystem Research Trend Using Network Text Analysis." Sustainability 13, no. 19 (2021): 10727. http://dx.doi.org/10.3390/su131910727.

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The management environment is moving into a new phase with the changing global circumstances. The business ecosystem as a management strategy has been studied for the last 30 years since the concept was introduced. The purpose of this study was to analyze the research trend in business ecosystem by using network next analysis and to understand the concept, being one that is still being actively studied. Network text analysis is a commonly used method to analyze research trends by forming networks based on bibliographic data of the articles, namely, keywords. For the analysis, we collected the

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Huang, Yue, Hu Liu, and Jing Pan. "Identification of data mining research frontier based on conference papers." International Journal of Crowd Science 5, no. 2 (2021): 143–53. http://dx.doi.org/10.1108/ijcs-01-2021-0001.

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Purpose Identifying the frontiers of a specific research field is one of the most basic tasks in bibliometrics and research published in leading conferences is crucial to the data mining research community, whereas few research studies have focused on it. The purpose of this study is to detect the intellectual structure of data mining based on conference papers. Design/methodology/approach This study takes the authoritative conference papers of the ranking 9 in the data mining field provided by Google Scholar Metrics as a sample. According to paper amount, this paper first detects the annual s

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Kim, Kyoung Eun. "An Analysis of Research Trends on Creative Teaching." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 12 (2022): 535–53. http://dx.doi.org/10.22251/jlcci.2022.22.12.535.

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Objectives The purpose of this study was to examine the studies on creative teaching published in Korean journals through the content analysis method and keyword network methods. Methods TThe final 77 papers among the papers searched as keywords for ‘creative teaching’ in Korean journals were targeted. For content analysis, the 77 papers were analyzed in terms of topics and research methods using an analysis frame. In addition, 216 keywords were derived for keyword network analysis, and frequency analysis and centrality analysis were conducted using textom programs and UCINET. Resu

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Kim, Kyoung Eun. "An Analysis of Research Trends on Creative Teaching." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 12 (2022): 547–65. http://dx.doi.org/10.22251/jlcci.2022.22.12.547.

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Objectives The purpose of this study was to examine the studies on creative teaching published in Korean journals through the content analysis method and keyword network methods. Methods TThe final 77 papers among the papers searched as keywords for ‘creative teaching’ in Korean journals were targeted. For content analysis, the 77 papers were analyzed in terms of topics and research methods using an analysis frame. In addition, 216 keywords were derived for keyword network analysis, and frequency analysis and centrality analysis were conducted using textom programs and UCINET. Resu

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Khan, Noel, David Elizondo, Lipika Deka, and Miguel A. Molina-Cabello. "Natural Language Processing Tools and Workflows for Improving Research Processes." Applied Sciences 14, no. 24 (2024): 11731. https://doi.org/10.3390/app142411731.

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The modern research process involves refining a set of keywords until sufficiently pertinent results are obtained from acceptable sources. References and citations from the most relevant results can then be traced to related works. This process iteratively develops a set of keywords to find the most relevant literature. However, because a keyword-based search essentially samples a corpus, it may be inadequate for capturing a broad or exhaustive understanding of a topic. Further, a keyword-based search is dependent upon the underlying storage and retrieval technology and is essentially a syntac

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Han, Yoo Jin, and Soo Kyeong Woo. "Research Trends of the Infant and Young Child Observation using Keyword Network Analysis." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 15 (2023): 793–813. http://dx.doi.org/10.22251/jlcci.2023.23.15.793.

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Objectives This study analyzed research trends of the infant and young child observation using keyword network analysis. Methods To this end, keywords were extracted from 71 academic papers on the infant and young child observation which were preserved in the Korea Educational Information Service Database (RISS) under the theme of “infant-young children (infant, young children) + observation.” After refining the collected keywords, 161 keywords were analyzed by UCINET 6, and then visualized using Netdraw. Results First, in research related to infant and young child observation, “ob

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