• Journal of Korean Elementary Science Education
• /
• v.32 no.2
• /
• pp.127-138
• /
• 2013

The purpose of this study was to select the basic words of physics for science education which were learned through everyday life or school education and be foundation of learning science. For this, we collected all words in the 'Wise Life' textbooks by 7th and 2007 National Curriculum, and extract the science words. As a result, there were 8,970 words in 8 textbooks of 'Wise Life', and about 18% of them, 1,585 words, were science words. There were 266 kinds of science words and most of them were biology words. And the textbooks by 2007 National Curriculum had more science words than by 7th's. Finally we selected 24 basic words of science only in the physics area by comprehensively considering difficulty, need and frequency.

• Journal of The Korean Association For Science Education
• /
• v.33 no.4
• /
• pp.735-750
• /
• 2013

The purpose of this study is to relieve the difficulties caused by science terminology in science learning and increasing the efficiency of science education. The reason why students experience difficulties in science terminology is because science words are used without being filtered by a criteria and students have not had the opportunity to be educated properly in science terminology. As a way to solve this problem, we propose establishing a criteria about the science words used in science education and to teach the science words systematically to the students under the criteria. In this study, we used the method of empirical linguistics that investigate the science terminologies actually used in science education to establish a criteria for science words. As a basic research for this, we analyzed all words contained in the physics section of science textbooks for elementary and secondary schools. And then, we collected all words used in the physics section of science textbook, and selected the science words for teaching, and rated them by grade. As a result, a total of 930 physics terms were selected as the science words for grade 3 to 10. The numbers of physics terms per grade were as follows: 66 words for the 3rd grade, 38 words for the 4th grade, 35 words for the 5th grade, 28 words for the 6th grade, 203 words for the 7th grade, 135 words for the 8th grade, 123 words for the 9th grade, and 302 words for the 10th grade.

• Journal of the Korea Safety Management & Science
• /
• v.15 no.2
• /
• pp.161-166
• /
• 2013

The purpose of this research is to analyse the research subject in journal of Korean safety management and sciences. Total 1850 key words in 560 papers were analysed by the Pajek system which is one of well known social network analysis tool. Key words trend from 2008 to 2012 was examined. Then the relationship among each key words was visualized. There were five key words group which strongly connected among key words. The degree centrality, between centrality, proximity prestige on each key words were calculated to verify influence degree to other key words.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2000.04a
• /
• pp.189-190
• /
• 2000

The purpose of this study is to estimate of design and ambience of goods by using 5 Kansei design items (shape, color, sense of material, fit, functionality/convenience). This paper describe that effectiveness of 5 Kansei design items. selecting image words and correspondence of 5 Kansei design items with image words. Kansei design items, selecting image words and correspondence of 5 Kansei design items with image words. (image words: the word describing about item image)

• Journal of dental hygiene science
• /
• v.21 no.1
• /
• pp.70-78
• /
• 2021

Background: The aim of this study was to analyze the public demand for information about the job of dental hygienists by mining text data collected from the online Q & A section on an Internet portal site. Methods: Text data were collected from inquiries that were posted on the Naver Q & A section from January 2003 to July 2020 using "dental hygienist job recognition," "role recognition," "medical assistance," and "scaling" as search keywords. Text mining techniques were used to identify significant Korean words and their frequency of occurrence. In addition, the association between words was analyzed. Results: A total of 10,753 Korean words related to the job of dental hygienists were extracted from the text data. "Chi-lyo (treatment)," "chigwa (dental clinic)," "ske-illing (scaling)," "itmom (gum)," and "chia (tooth)" were the five most frequently used words. The words were classified into the following areas of job of the dental hygienist: periodontal disease treatment and prevention, medical assistance, patient care and consultation, and others. Among these areas, the number of words related to medical assistance was the largest, with sixty-six association rules found between the words, and "chi-lyo," "chigwa," and "ske-illing" as core words. Conclusion: The public demand for information about the job of dental hygienists was mainly related to "chi-lyo," "chigwa," and "ske-illing" as core words, demonstrating that scaling is recognized by the public as the job of a dental hygienist. However, the high demand for information related to treatment and medical assistance in the context of dental hygienists indicates that the job of dental hygienists is recognized by the public as being more focused on medical assistance than preventive dental care that are provided with job autonomy.

• Journal of Information Processing Systems
• /
• v.13 no.4
• /
• pp.805-817
• /
• 2017

Cross-lingual query expansion is usually based on the relationship among monolingual words. Bilingual comparable corpus contains relationships among bilingual words. Therefore, this paper proposes a method based on these relationships to conduct query expansion. First, the word vectors which characterize the bilingual words are trained using Chinese and Thai bilingual comparable corpus. Then, the correlation between Chinese query words and Thai words are computed based on these word vectors, followed with selecting the Thai candidate expansion terms via the correlative value. Then, multi-group Thai query expansion sentences are built by the Thai candidate expansion words based on Chinese query sentence. Finally, we can get the optimal sentence using the Chinese and Thai query expansion method, and perform the Thai query expansion. Experiment results show that the cross-lingual query expansion method we proposed can effectively improve the accuracy of Chinese and Thai cross-language information retrieval.

• The Korean Journal of Emergency Medical Services
• /
• v.24 no.1
• /
• pp.85-92
• /
• 2020

Purpose: The purpose of this study was to analyze the English abstract key words found within the Korea Society of Emergency Medical Services journal using text mining techniques to determine the adherence of these terms with Medical Subject Headings (MeSH) and identify key word trends. Methods: We analyzed 212 papers that were published from 2012 to 2019. R software, web scraping, and frequency analysis of key words were conducted using R's basic and text mining packages. Additionally, the Word Clouds package was used for visualization. Results: The average number of key words used per study was 3.9. Word cloud visualization revealed that CPR was most prominent in the first half and emergency medical technician was most frequently used during the second half. There were a total of 542 (64.9%) words that exactly matched the MeSH listed words. A total of 293 (35%) key words did not match MeSH listed words. Conclusion: Researchers should obey submission rules. Further, journals should update their respective submission rules. MeSH key words that are frequently cited should be suggested for use.

• Korean Journal of Cognitive Science
• /
• v.13 no.1
• /
• pp.1-11
• /
• 2002

In this paper, a test was performed to determine whether words in Anchor Text were appropriate as key words. As a result of the test. there were proper words of high weighting factor, while some others did not even appear in the text. therefore, were not appropriate as key words. In order to resolve this problem. a new method was proposed to extract key words. Using the proposed method, inappropriate key words can be removed so that new key words be set, and then, ranking becomes possible with the TFIDF value as a weighting factor of the key word. It was verified that the new method has higher accuracy compared to the previous methods.

• Journal of Korean Elementary Science Education
• /
• v.37 no.1
• /
• pp.39-53
• /
• 2018

The purpose of this study was to investigate the conceptual structure of subjects related to matter having pre-service elementary school teachers by applying semantic network analysis (SNA). The analyzed concepts in the subjects of matter were 6 words such as 'atom', 'molecule', 'ion', 'electron', 'matter' and 'particle'. The results of SNA of the concepts are as follows : 1. In the semantic network of 'atom', words having a high betweenness centrality were linked with the words based on both the scientific context and the everyday context. 2. The network of 'molecule' was analyzed to be more organized than the network of the 'atom'. 3. In the network of 'ion', the group of words of the scientific context was distinguished from the group of words of the everyday context. 4. The network of 'electron' was analyzed to be more oriented on electricity and magnetism in the field of physics. 5. In the network of 'matter', the words related to compounds were linked with knowledge of history of science. 6. The network of 'particle' was not structured with words based on particulate nature of matter.

• Journal of Korean Elementary Science Education
• /
• v.28 no.3
• /
• pp.331-339
• /
• 2009

The purpose of this study is to make a list of scientific terms to decrease students' difficulties of science learning. By using inductive method, database has established from elementary school science textbooks and laboratory observation books. All terms from physics area of science textbooks and laboratory observation books at the levels of grade 3 to 6 were analyzed based on the Standard Korean Dictionary (1999) and Book of Physics Terminology (2005). As a result, we made a list of 204 scientific terms by grade level. Those were 51 words for grade 3, 55 words for grade 4, 56 words for grade 5, and 42 words for grade 6. And there were some incongruities among textbooks, the Standard Korean Dictionary and the Book of Physics Terminology.