• Title/Summary/Keyword: terminology analysis

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Network Analysis on Associative Words and Definitions of 'Electricity' Terminology of Education University Students (교육대학교 학생들의 '전기' 용어의 연상 단어 및 정의에 대한 네트워크 분석)

  • Song, Youngwook
    • Journal of The Korean Association For Science Education
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    • v.36 no.5
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    • pp.791-800
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    • 2016
  • This research aimed to identify core words used as associative words and definitions for expressing 'electricity' terminology and to find how core ones are activated to form a cognitive structure, using network analysis. The participants targeted 83 university freshmen students in the University of Education located in suburbs. Depending on their gender, whether or not they completed physics in high school, the associative words and definitions were analyzed using the network method, classifying two sections: before-lesson and after-lesson. The result is as follows: At before-lesson associative words for 'electricity' terminology, a slightly different network construction was revealed based on their two properties. However, after the class, they showed similar network structure irrespective of their distinctive characteristics. When it comes to other 'electricity' definitions, before taking the course, they had similar network connection across the gender but based on physics education status, there appeared subtle differences. Ultimately, after the class they demonstrated similar network structure regardless of their features. In conclusion, this paper suggests educational implications on network analysis, which covers 'electricity' terminology of university students.

A Keyword Network Analysis of Standard Medical Terminology for Musculoskeletal System Using Big Data (빅데이터를 활용한 근골격계 표준의료용어에 대한 키워드 네트워크 분석)

  • Choi, Byung-Kwan;Choi, Eun-A;Nam, Moon-Hee
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.681-693
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    • 2022
  • The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

Text Mining Driven Content Analysis of Social Perception on Schizophrenia Before and After the Revision of the Terminology (조현병과 정신분열병에 대한 뉴스 프레임 분석을 통해 본 사회적 인식의 변화)

  • Kim, Hyunji;Park, Seojeong;Song, Chaemin;Song, Min
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.285-307
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    • 2019
  • In 2011, the Korean Medical Association revised the name of schizophrenia to remove the social stigma for the sick. Although it has been about nine years since the revision of the terminology, no studies have quantitatively analyzed how much social awareness has changed. Thus, this study investigates the changes in social awareness of schizophrenia caused by the revision of the disease name by analyzing Naver news articles related to the disease. For text analysis, LDA topic modeling, TF-IDF, word co-occurrence, and sentiment analysis techniques were used. The results showed that social awareness of the disease was more negative after the revision of the terminology. In addition, social awareness of the former term among two terms used after the revision was more negative. In other words, the revision of the disease did not resolve the stigma.

Analyzing Disaster Response Terminologies by Text Mining and Social Network Analysis (텍스트 마이닝과 소셜 네트워크 분석을 이용한 재난대응 용어분석)

  • Kang, Seong Kyung;Yu, Hwan;Lee, Young Jai
    • Information Systems Review
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    • v.18 no.1
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    • pp.141-155
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    • 2016
  • This study identified terminologies related to the proximity and frequency of disaster by social network analysis (SNA) and text mining, and then expressed the outcome into a mind map. The termdocument matrix of text mining was utilized for the terminology proximity analysis, and the SNA closeness centrality was calculated to organically express the relationship of the terminologies through a mind map. By analyzing terminology proximity and selecting disaster response-related terminologies, this study identified the closest field among all the disaster response fields to disaster response and the core terms in each disaster response field. This disaster response terminology analysis could be utilized in future core term-based terminology standardization, disaster-related knowledge accumulation and research, and application of various response scenario compositions, among others.

A Study on the Tra.sition of Terminology and its Meaning of Support Spaces Foucused on the Kitchens in Korean Houses (한국주택 가사작업공간의 관련용어변화와 그의미에 관한연구 - 부엌을 중심으로-)

  • 서귀숙
    • Journal of Families and Better Life
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    • v.17 no.3
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    • pp.117-130
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    • 1999
  • The purpose of this study is to find out the transition of meaning and terminology of support spaces in Korean houses based on preliminary studies and analysis of Korean novels. The major findings are as follows. The planning and location of the kitchen and its support spaces developed slowly until the 1970s. Buok has been the terminology of support spaces that appeared often and continuously in novels. The word Bongdang was mentioned only before the 1900s. The new words such as Sikdang. Buokaband appeared after the 1960s,. Jubang appeared after the 1980s. The meaning of kitchen space described in novels were various. Thpically the kitchen was used for cooking washing dishes keeping kitchen utensils foods and miscellaneous goods. Exveptionally the kitchen was the place for quarreling with others weeping secretly hiding washing clothes etc. The kitchen was also a symbol of the wealth of the family but many kitchens were usually described in novels as the unpleasant places. Even though most users of the kitchen in novels were women men also used the kitchen in novels were women men also used the kitchen without any restrictions. however the activities of men and women of the upper class in the kitchen were never described in any novels.

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A Development of Reference Terminology Subset Editor for effective adaption of Clinical Vocabulary (임상용어의 효율적 적용을 위한 참조용어 Subset 에디터의 개발)

  • Cho, Hune;Kim, Hyung-Hoi;Choi, Byung-Guan;Choi, Young-Yeon;Kim, Hwa-Sun;Hong, Hae-Sook
    • Journal of Korea Multimedia Society
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    • v.11 no.3
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    • pp.364-372
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    • 2008
  • It is highly useful in an actual clinical setting to apply appropriate medical terms to every area of electronic medical record (EMR) and link them effectively, as a single medical terminology system cannot cover all medical concepts. In order to use standardized terms conveniently and efficiently, it is required to categorize them depending on the purpose of individual departments or physicians and thereby develop organized subsets of extracted terms highly likely to be used. In addition, it is important to such a subset to make it possible to change or correct standardized terminology system and continue to develop and upgrade to meet renewed demands of users. In this paper, data including chief compliant, symptoms, diagnosis, operation, and history of previous treatments were collected from discharge summary of patients with Department of Neurosurgery at Busan National University Hospital for analysis. In addition, subset database was created, and for terms needed to be added, the physician directly performed mapping through connection with reference terminology server and developed subset editor for the purpose of creating new subset database. Therefore, it is expected that this can serve as a practical and effective management method to reduce problems and inefficiency caused by existing vast terminology system.

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A study of Korean Medicine Terminology that Meaning Breast Diseases During Breastfeeding (수유부의 유선질환을 의미하는 한의학 용어 연구)

  • Lee, Seon-Young;Oh, Jun-Ho;Cha, Wung-Seok;Kim, Nam-Il
    • Korean Journal of Oriental Medicine
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    • v.16 no.2
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    • pp.75-81
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    • 2010
  • Objective : This study aims to clearly define the concept of Korean medicine terminology related with breast disease that occurs during breastfeeding. It attempts to suggest aguideline so that identical terms can be used to explain the medical conditions of breast-feeders from the perspective of oriental medicine. Method : This paper is based on what is recorded in medical books. It has organized the relations between the terms grounded on the analysis of similarities and differences in the concepts of the terms contained in them. The medical book chiefly used here was "Uibangyuchwi(醫方類聚)". To organize the terms, thesaurus was utilized. Result & Conclusion : The terminology of Korean medicine related with breast disease that occurs during breastfeeding is prescribed from the aspects of the causes, affected areas, or pathological conditions. The clinically typical terms of korean medicine are 'Tuyu(妬乳)' and 'Yuong(乳癰)'. The two are distinguished by whether one has systemic symptoms or not. If one has no systemic symptom, it is 'Chwiyu(吹乳)' or 'Tuyu', and these two are distinguished by whether one has 'Chang(瘡; sores)' or not. It is significant to organize the concepts of korean medicine terminology since they are directly related with treatments in the field.

COMPARATIVE ANALYSIS OF ASTRONOMICAL TERMINOLOGY USED IN SOUTH KOREA AND NORTH KOREA (남한과 북한의 천문용어 비교 분석)

  • YANG, HONG-JIN;CHOI, GO-EUN;YIM, INSUNG;CHOI, HYUN-KYOO;NOH, KYUNG-RAN;CHOE, HYO-JEONG
    • Publications of The Korean Astronomical Society
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    • v.34 no.3
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    • pp.41-48
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    • 2019
  • We compared and analyzed the astronomy terms currently used by astronomers in the two Koreas to promote inter-Korean astronomy cooperation. We analyzed a total of 2716 pairs of terms common in both Koreas glossaries, using the astronomical terminology contained in the South Korean source, the 'Terminology of Astronomy', and the North Korean source, 'Mirror 2.0'. For each pair of terms, their morphological features and meanings were compared. We categorized into 11 groups for comparison of astronomical terms. We found that most of the terms are used similarly in the two Koreas. About 47% of the total is similar in form. Although terms are different, meanings communicate about 37% of the total. As a result, similar terms used by the two Koreas correspond to about 85% of the total. However, 15% of terms are difficult to understand because they have different forms or meanings such as diffraction (회절/에돌이), flare (플레어/요반) etc. Further research on terms that are used differently by the two Koreas, and the conversion of appropriate terms through mutual understanding should be made in the future.

Terminology Recognition System based on Machine Learning for Scientific Document Analysis (과학 기술 문헌 분석을 위한 기계학습 기반 범용 전문용어 인식 시스템)

  • Choi, Yun-Soo;Song, Sa-Kwang;Chun, Hong-Woo;Jeong, Chang-Hoo;Choi, Sung-Pil
    • The KIPS Transactions:PartD
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    • v.18D no.5
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    • pp.329-338
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    • 2011
  • Terminology recognition system which is a preceding research for text mining, information extraction, information retrieval, semantic web, and question-answering has been intensively studied in limited range of domains, especially in bio-medical domain. We propose a domain independent terminology recognition system based on machine learning method using dictionary, syntactic features, and Web search results, since the previous works revealed limitation on applying their approaches to general domain because their resources were domain specific. We achieved F-score 80.8 and 6.5% improvement after comparing the proposed approach with the related approach, C-value, which has been widely used and is based on local domain frequencies. In the second experiment with various combinations of unithood features, the method combined with NGD(Normalized Google Distance) showed the best performance of 81.8 on F-score. We applied three machine learning methods such as Logistic regression, C4.5, and SVMs, and got the best score from the decision tree method, C4.5.

Analysis of terminology by year according to the change of beauty department department names - Focused on vocational colleges and university (미용 계열 학과명 변천에 따른 연도별 용어 분석 - 전문대학과 4년제 종합대학교를 중심으로)

  • Park, Jang-Soon
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.443-448
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    • 2021
  • The name of the department is not only a means of notifying the existence of the department, but also acts as an important indicator that includes the overall curriculum, specialization strategy, student management, and employment of the department. The importance of the department name, which is a collection of internal and external public relations, has emerged greatly, but the existing research related to this is insufficient. Therefore, in this study, the terminology used in the names of beauty departments at two-year colleges and four-year colleges nationwide is surveyed year by year to contribute to the establishment of developmental goals that the department should aim for and a systematic analysis for curriculum reform. As a result of the study, in 1994, 7 schools (41.18%) had the most skin care departments, and in 2005, 2013 and 2020, 'Beauty' was 50 cases (21.55%), 67 cases (28.03%), and 92 cases (34.20%), respectively. Through this study, it is possible to analyze the overall trend of the beauty industry, and it is expected that it will be used as basic data when promoting a department name change or opening a department in the future.