• Title/Summary/Keyword: 텍스트 범주화

Search Result 49, Processing Time 0.025 seconds

Advertising Contents based on Semiotic Methodology (광고콘텐츠의 기호분석)

  • Kim, Kyung-sook
    • Journal of the Korea Convergence Society
    • /
    • v.6 no.6
    • /
    • pp.87-93
    • /
    • 2015
  • Advertisements in modern era are not intended to be consumed only as commercial purposes, but consumed also as cultural and artistic purposes. Advertising contents' success depends on Semiotic codes revealed in advertising texts. Advertising scholar Ozoh (1998) argued that perspectives for advertising are divided into two perspective, one as marketing tool perspective and the other as communication processes perspective. Advertising planning, advertising management, advertising, and advertising evaluation of marketing perspective are significantly different from those of communication perspective. Two perspectives of advertising present various debates on what contents of advertising messages are and how advertising messages are made up. In this research manuscripts, we discuss story telling as communication tool of advertising text in terms of cultural semiotics. That is, meaning value of goods is so well revealed in use value of goods that they satisfy consumers' needs, we analyze how they satisfy consumers' needs in semiotic(symbolic) process. We apply Gremas's semantic model to coffee advertisements in France and Korea, and analyze various differences between differentiation strategies of French coffee advertisements and those of Korean coffee advertisements in terms of semiotic perspective.

Patents and Papers Trends of Solar-Photovoltaic(PV) Technology using LDA Algorithm (LDA알고리즘을 활용한 태양광 에너지 기술 특허 및 논문 동향 연구)

  • Lee, Jong-Ho;Lee, In-Soo;Jung, Kyeong-Soo;Chae, Byeong-Hoon;Lee, Joo-Yeoun
    • Journal of Digital Convergence
    • /
    • v.15 no.9
    • /
    • pp.231-239
    • /
    • 2017
  • Solar energy is attracting attention as an alternative to fossil fuels. However, there was a lack of discussion on the overall research direction and future direction of research in technology development. In order to develop more effective technology, we analyzed and discussed the technology trend of solar energy using patent data and thesis data. As an analysis method, topics were selected by using topic modeling and text mining, the increase of included keywords was analyzed, and the direction of development of solar technology was analyzed. Research on solar power generation technology is expected to proceed steadily, and it is analyzed that intensive research will be done especially on high efficiency and high performance technology. Future studies could be conducted by adding overseas patent data and various paper data.

A Narrative Inquiry on Korea Science Academy Physical Education Teachers's Assessment Experiences (한국과학영재학교 체육교사의 체육평가 경험에 대한 내러티브 탐구)

  • Lee, Jong-Min;Lee, Keun-Mo
    • 한국체육학회지인문사회과학편
    • /
    • v.55 no.3
    • /
    • pp.43-57
    • /
    • 2016
  • This narrative study aims to describe the experience of P.E. assessment that was conducted by P.E. teachers of Korea Science Academy of KAIST, and interpret the educational significance that was found in the process. The study participants were two P.E. teachers who were selected by decisive case sampling method. Data were collected mainly through official interviews with study participants, and through researcher's field notes, informal interviews, various minutes, students' evaluation of teaching, and emails between the researcher and study participants. Data were analyzed through inductive categorization, and to gain veracity of the study, there were integration of diverse materials, advice and suggestions of fellow researchers, continuous confirmation of study texts by study participants. Study participants, while conducting P.E. assessment in Korea Science Academy of KAIST, experienced effectiveness of evaluation such as qualitative development of P,E. classes in accordance with the simplified assessment, freedom from the chores of handling assessment results, students' improved perceptions of P.E. class, realization of safe classes without excessive competition, and the possibility of giving alternative evaluations to pass/fail system but at the same time experienced limitations such as concerns over gaining validity and reliability of P.E. evaluation, the students' attitude who take lightly of P.E. class, and the reality that teachers cannot fail students. The evaluation experiences of the two P.E teachers were educationally interpreted as encounter with good P.E. classes, invitation to P.E. class criticism, and the start of school P.E. culture that is led by students.

Analysis of Elementary School Students' Visual Representation Competence for Shadow Phenomenon (그림자 현상에 대한 초등학생의 시각적 표상 능력)

  • Yoon, Hye-Gyoung
    • Journal of The Korean Association For Science Education
    • /
    • v.39 no.2
    • /
    • pp.295-305
    • /
    • 2019
  • In previous study, visual representation competence taxonomy (VRC-T), which is composed of two dimensions, was developed for the purpose of promoting effective visual representation use and research in science education. In this study, elementary school students' visual representation competence for shadow phenomenon was investigated using VRC-T. In terms of visual representation competence, 'interpretation' was the highest score, followed by 'construction' and 'integration'. It also showed that students' visual representation competence was not high even after learning shadow-related units in the regular curriculum. On the other hand, text-based scientific knowledge was not correlated with all categories of visual representation competence. This indicates that there is a need to emphasize visual representation more in science class. Finally, hierarchical relationship among cognitive processes of VRC-T was explored according to ordering theory. If the tolerance level is somewhat loosened, a linear hierarchical relationship was found between the six cognitive processes. This suggests that VRC-T is an analytical framework that can be useful when designing assessment tools, tasks, and science class activities to enhance visual representation competence.

Analysis of Changes in Restaurant Attributes According to the Spread of Infectious Diseases: Application of Text Mining Techniques (감염병 확산에 따른 레스토랑 선택속성 변화 분석: 텍스트마이닝 기법 적용)

  • Joonil Yoo;Eunji Lee;Chulmo Koo
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.89-112
    • /
    • 2023
  • In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

Research on ITB Contract Terms Classification Model for Risk Management in EPC Projects: Deep Learning-Based PLM Ensemble Techniques (EPC 프로젝트의 위험 관리를 위한 ITB 문서 조항 분류 모델 연구: 딥러닝 기반 PLM 앙상블 기법 활용)

  • Hyunsang Lee;Wonseok Lee;Bogeun Jo;Heejun Lee;Sangjin Oh;Sangwoo You;Maru Nam;Hyunsik Lee
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.12 no.11
    • /
    • pp.471-480
    • /
    • 2023
  • The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

Automatic scoring of mathematics descriptive assessment using random forest algorithm (랜덤 포레스트 알고리즘을 활용한 수학 서술형 자동 채점)

  • Inyong Choi;Hwa Kyung Kim;In Woo Chung;Min Ho Song
    • The Mathematical Education
    • /
    • v.63 no.2
    • /
    • pp.165-186
    • /
    • 2024
  • Despite the growing attention on artificial intelligence-based automated scoring technology as a support method for the introduction of descriptive items in school environments and large-scale assessments, there is a noticeable lack of foundational research in mathematics compared to other subjects. This study developed an automated scoring model for two descriptive items in first-year middle school mathematics using the Random Forest algorithm, evaluated its performance, and explored ways to enhance this performance. The accuracy of the final models for the two items was found to be between 0.95 to 1.00 and 0.73 to 0.89, respectively, which is relatively high compared to automated scoring models in other subjects. We discovered that the strategic selection of the number of evaluation categories, taking into account the amount of data, is crucial for the effective development and performance of automated scoring models. Additionally, text preprocessing by mathematics education experts proved effective in improving both the performance and interpretability of the automated scoring model. Selecting a vectorization method that matches the characteristics of the items and data was identified as one way to enhance model performance. Furthermore, we confirmed that oversampling is a useful method to supplement performance in situations where practical limitations hinder balanced data collection. To enhance educational utility, further research is needed on how to utilize feature importance derived from the Random Forest-based automated scoring model to generate useful information for teaching and learning, such as feedback. This study is significant as foundational research in the field of mathematics descriptive automatic scoring, and there is a need for various subsequent studies through close collaboration between AI experts and math education experts.

A Study on the Reflective Practice Experience of a Home Economics Teacher Professional Learning Community Operator (가정과 교사학습공동체 운영자의 성찰적 실천 경험에 관한 실행연구)

  • Lee, Gyeong Suk;Yoo, Taemyung
    • Journal of Korean Home Economics Education Association
    • /
    • v.29 no.2
    • /
    • pp.1-22
    • /
    • 2017
  • The purpose of this research is to share the experience of reflective practice of a Home Economics teacher professional learning community(PLC) operator and to share better suggestions through reflection on PLC operation. All conversation in the 18 sessions of the PLC totally from May 31st 2013 to May 19th 2014 was recorded and transcribed. All materials of PLC activity were qualitatively analysed. Its themes were grounded on its coding and categorization scheme. Findings and conclusions of this study are as followings. The experience of learning the PLC for a year has found that it is the power to keep the PLC alive: courage and anxiety to face anxiety and anxiety about new challenges, the importance of theme selection, a teacher with a reckless challenge, shares of becoming a leader. Through reflection, I learned that concerns require attention to other teachers and the need for a 'New Round' for ongoing meetings. I, as a operator, did not fully consider participant's different interest as well as a program for a new round due to the lack of management experience. It led to the low participations in latter sessions of PLC. Suggestions are put as solutions to improve these problems; (1) grouping participants by school levels when collecting participants, (2) setting operation period and program applying participants' opinions, and (3) operating short-term PLC with certain themes to immerse reaching goal and satisfaction in short time.

Analysis of Household Textbooks for MiddleㆍHigh School in Colonial Age (식민지 시대 '가사교과서'에 관한 연구: 1930년대를 중심으로)

  • Jun Mi-Kyung
    • Journal of Korean Home Economics Education Association
    • /
    • v.16 no.3
    • /
    • pp.1-25
    • /
    • 2004
  • This study analyzes the external forms of the household textbooks and also the contents of them used at girls' middleㆍhigh schools during the period of Japanese ruling over Korea. To this end, 8 household textbooks published from 1928 to 1937 were analyzed. The results of the study are summarized as follows. 1. The household subject had become the one of the most important subjects to girl students as the practical uses were emphasized in educational area during the period. As a result. the classes of the household were the second in hours, following the class of Japanese (the national language) to girl students. 2. The contents of the household textbooks were intended to contain 'the modern' and 'the newest'. The students were also suggested to apply the contents of the textbooks to real home life. Many pictures, photos and illustrations were included in household textbooks to help students to understand the contents of the subject. 3. The purposes of the household class were the reformation of the living conditions and home economics. 4. The external characteristics of the household textbooks during the period were as follows. - Written in Japanese vertically and the size of the textbook was A5 (150/210) with pulp paper of good quality - The type style of the body of the textbooks was Ming-style type- The sequent order of the textbooks was the outer cover, the title page, pictorial, introduction, table of contents, the body, appendix and the back cover. 5. The household textbooks consisted of the first volume and the second volume. The first volume contained clothing and textiles, food and nutrition and housing. Taking care of the aged. nursing. child care, household economy and home management were included in the second volume. 6. The household textbooks were designed to make women the housewives.

  • PDF