• Title/Summary/Keyword: Keyword Trends

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A Big Data Analysis of the News Trends on Wireless Emergency Alert Service (뉴스 빅데이터를 활용한 재난문자 뉴스 게재 경향 분석)

  • Lee, Hyunji;Byun, Yoonkwan;Chang, Sekchin;Choi, Seong Jong;Oh, Seunghee;Lee, Yongtae
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.726-734
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    • 2019
  • This study investigates the number of news and correlated keywords concerning to Korean Wireless Emergency Alert(KWEA). The news was collected using BIGKinds, a news big data system provided by the Korea Press Foundation. When analyzing the annual published news articles, we investigated the frequency of the news grouped by disaster types, and the frequency of the news distinguishing between the earthquake and non-earthquake disasters, and finally the frequency of correlated keywords concerning to the disasters. We found that the KWEA news totaled 182 in 2016 due to the unprecedented powerful KyongJu earthquake, an increase of 20 times over the previous year. Ever since 2016, the news about the KWEA continued to hit high figures consistently. After the peak in KyongJu earthquake in 2016, the proportion of non-earthquakes had also increased in 2017 and 2018. Next, the keyword correlation analysis showed that the KWEA news gave major coverage to the following entities: The Ministry of the Interior and Safety which operates the KWEA, Korea Meteorological Administration, and the general public.

A Study on the Press Report Analysis of Special Security Guard in Korea Using Big Data Analysis

  • Cho, Cheol-Kyu
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.183-188
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    • 2020
  • This study is primarily aimed at providing a foundation for academic development and the leap forward of the Special Security Industry through the press report analysis on Korea's special security guard using big data. The research methods It was analyzed by the research methods in relation to keyword trends for 'special security guard' and 'special guards' using the Big Kinds program. According to the analysis based on the period of growth (quantitative and qualitative) of the special security industry, there were many press reports and exposure related to carrying firearms, national major facilities, and regular employees. Unlike the general security guards, the special security guards were released higher by media as a law was revised to allow them to carry or use firearms at important national facilities. There was a lot of media attention concerned about the side effects of misuse, and there were also high media reports on the transition of regular workers to improve poor treatment, such as the unstable status of special security guards and low wages. Therefore, the need for continuous development and improvement of professionalism and work efficiency of special security services are emphasized.

Text Mining and Visualization of Unstructured Data Using Big Data Analytical Tool R (빅데이터 분석 도구 R을 이용한 비정형 데이터 텍스트 마이닝과 시각화)

  • Nam, Soo-Tai;Shin, Seong-Yoon;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.9
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    • pp.1199-1205
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    • 2021
  • In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

Topic Modeling on Research Trends of Industry 4.0 Using Text Mining (텍스트 마이닝을 이용한 4차 산업 연구 동향 토픽 모델링)

  • Cho, Kyoung Won;Woo, Young Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.764-770
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    • 2019
  • In this research, text mining techniques were used to analyze the papers related to the "4th Industry". In order to analyze the papers, total of 685 papers were collected by searching with the keyword "4th industry" in Korea Journal Index(KCI) from 2016 to 2019. We used Python-based web scraping program to collect papers and use topic modeling techniques based on LDA algorithm implemented in R language for data analysis. As a result of perplexity analysis on the collected papers, nine topics were determined optimally and nine representative topics of the collected papers were extracted using the Gibbs sampling method. As a result, it was confirmed that artificial intelligence, big data, Internet of things(IoT), digital, network and so on have emerged as the major technologies, and it was confirmed that research has been conducted on the changes due to the major technologies in various fields related to the 4th industry such as industry, government, education field, and job.

Review of Clinical Research about the Treatment of Aphasia after Cerebrovascular Disease (뇌혈관질환 후 실어증의 한의학적 치료에 대한 국내 임상연구에 대한 고찰)

  • Koh, Ji-yoon;Son, Ah-hyun;Shin, Hyeon-su
    • The Journal of Internal Korean Medicine
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    • v.39 no.6
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    • pp.1105-1115
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    • 2018
  • Objectives: The aim of this review is to investigate clinical studies on Oriental medicine treatment for aphasia after cerebrovascular disease. Methods: Using the keywords 'Aphasia', 'Oriental medicine', 'Stroke' 'Cerebral infarction', 'Cerebral hemorrhage', and 'Clinic', we searched domestic databases, including "NDSL (National Discovery for Science Leaders)", "Korean Traditional Knowledge Portal", "OASIS (Oriental Medicine Advanced Searching Integrated System)", and "RISS (Research Information Sharing Service)". Each keyword was not searched individually, but combined in various ways. To investigate recent trends, we limited our search to papers published after 2000. Papers that did not include a specific treatment method or did not match the subject "Aphasia after stroke" were excluded. Results: Using the searching method, 13 studies were found. Of these, 12 studies were in the form of case reports, while one was in the form of a non-randomized controlled trial. These studies showed positive results for the use of Oriental medicine in terms of the Korean version of the Western Aphasia Battery (K-WAB), the evaluation form on functional performance capability and accuracy of articulatory organs developed by Lee, aphasia screening test refered in 'Assessment in Speech-Language Pathology' and adapted properly to Korean, the Communicative Ability in Daily Living Test (CADLT), the Korean Version-Boston Naming Test (K-BNT), and language assessment items included in CNS, and NIHSS. Conclusions: Of the 12 case reports, 11 studies showed positive results of the use of Oriental medicine for treatment of aphasia after cerebrovascular disease. However, more sophisticated and large-scale clinical research on aphasia should be conducted.

A Big-Data Analysis on Older Adult's Health and Safety Issues (노인의 건강 및 안전문제에 대한 빅데이터 분석)

  • Wang, Lin;Lee, Ju-Gyung;Hwang, Ji-Hyeon
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.336-344
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    • 2019
  • Currently, Korea is entering an aging society, causing the issues of older adults in a wide range of fields. This study focuses on the health and safety issues of the older adults. As a theoretical background, Maslow's hierarchy of needs theory was applied, and a new theory was established in connection with the physiological needs and safety needs of the 5 stages of desire in relation to the health and safety issues of the older adults. Health issues applying to physiological needs for the older adults are examined in detail in the body, perception and psychology areas, and safety accidents occurring indoors and outdoors are examined in relation to safety needs. Naver DataLab, a big data portal, shows that the number of bugs regarding health and safety of the older adults is steadily increasing. And through Google Trends, we can understand the interest setting up related search keyword about the older adults. According to the related search keywords, social part related to health in health issues is ranked high and kewords related to accident type in safety issues is ranked high. These findings will be an important basis data for research and solution to the issues of older adults.

A Systematic Review on Driving Rehabilitation of After Stroke (뇌졸중 환자의 운전재활에 관한 체계적 고찰)

  • Park, Bo-Ra
    • Journal of Society of Occupational Therapy for the Aged and Dementia
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    • v.12 no.2
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    • pp.37-46
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    • 2018
  • Objective : The aims of this study is to investigate the research trends of driver rehabilitation in stroke patients through systematic consideration and suggests future research directions. Method : This study was conducted on a total of 6 subjects selected from 2008 to 2017. The analysis criteria were classified into qualitative level, published journal, evaluation tool, and keyword. Result : The study on the driving rehabilitation of stroke patients was the highest in IV and V levels at 33.32% each, and the most studies were published in 2014. The keywords of the study were 33.32% each related to driving and stroke. Conclusion : This study investigated the driving rehabilitation of stroke patients. Based on the results, it is necessary to continuously study the effects of various programs for driving rehabilitation in the future.

A Review of the Chinese Traditional Medicine Thesis on the Treatment of Hyperopia (원시(遠視) 치료에 관한 중의(中醫) 논문 고찰)

  • Kang, Jae-Hyun;Hong, Jin-Young;Seo, Hyung-Sik
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.34 no.4
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    • pp.37-48
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    • 2021
  • Objectives : The purpose of this study is to investigate treatment trends on hyperopia of chinese traditional medicine. Methods : We searched papers using CNKI and Pubmed. The keyword used on searching was 'Hyperopia' combined with 'Chinese medicine', 'Acupuncture' and 'herbal medicine'. Searching duration was not specified. The search was conducted from January 2020 to July 2021, and the final selected papers were from 1983 to 2014. Results : Studies found in CNKI were 27 and 20 sutdies were excluded. Studies found in Pubmed were 57 and 57 studies were excluded. Finally 7 sutdies were selected and analyzed. Five studies of selected ones were case reports and two were review papers. Among 5 case reports, two of them used herbal medicine with pressing auricular acupoints with beans. Another one used electronic plum acupuncture only. Another one used acupuncture with electronic heat and pulsed current stimulation. The other one compared acupuncture alone and acupuncture combined with massage. All studies report high efficacy rates on treatments. Conclusions : According to this study we found the possibility of acupuncture and herbal medicine on hyperopia. We expect that further studies will be conducted and the results of them could be actively applied to clinical treatments.

Bibliometric Analysis of the Effect of Acupuncture on Cancer Pain in the Last 20 Years (최근 20년간 침의 암성통증에 대한 효과 연구의 계량서지학적 분석)

  • Park, Han-song;Lee, Do-eun;Ha, Ji-su;Seo, Ho-seok;Kim, Jin-won
    • The Journal of Internal Korean Medicine
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    • v.42 no.3
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    • pp.279-292
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    • 2021
  • Objectives: Analyze papers on the effect of acupuncture on cancer pain from a macroscopic point of view, suggesting global trends and future research directions to promote acupuncture treatment for cancer pain. Methods: By filtering the papers searched for (acupuncture) AND (cancer pain) in the Web of Science database, 351 papers were selected and analyzed by year, field, journal, institution, author, and keyword. Results: Most papers were published in 2020, and research was active in the field of complementary and alternative medicine. Research on the effects of acupuncture in cancer pain has been active in cancer centers and university hospitals, research has been active in various countries. The most frequently mentioned keywords in the titles and abstracts were acupuncture, pain, and quality of life. The latest top 5 keywords were inhibitor-induced arthralgia, acupuncture therapy, risk factors, opioids, and recovery. Conclusions: Acupuncture treatment has the potential to reduce pain and improve quality of life in cancer patients, and it should be actively studied in the future.

Analysis on Big data, IoT, Artificial intelligence using Keyword Network (빅데이터, IoT, 인공지능 키워드 네트워크 분석)

  • Koo, Young-Duk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1137-1144
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    • 2020
  • This paper aims to provide strategic suggestions by analyzing technology trends related to big data, IoT, and artificial intelligence. To this end, analysis was performed using the 2018 national R&D information, and major basic analysis and language network analysis were performed. As a result of the analysis, research and development related to big data, IoT, and artificial intelligence are being conducted by focusing on the basic and development stages, and it was found that universities and SMEs have a high proportion. In addition, as a result of the language network analysis, it is judged that the related fields are mainly research for use in the smart farm and healthcare fields. Based on these research results, first, big data is essential to use artificial intelligence, and personal identification research should be conducted more actively. Second, they argued that full-cycle support is needed for technology commercialization, not simple R&D activities, and the need to expand application fields.