• Science of Emotion and Sensibility
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• v.12 no.2
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• pp.215-224
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• 2009

This research extracted emotional words for measuring user's emotions expressed while using a cellular phone and a web. And then the emotional words were compared to find out whether the difference in emotional words by the type of products. The results of this study suggest that the hardware-oriented products used for specific purpose such as cellular phone extracted a lot of emotional words related to 'Satisfaction in Usability' and 'Pleasure'. 'Satisfaction in Usability' are conceived satisfying in usability or practicality of product. 'Pleasure' are pleasant emotions expressed while using a product. However the emotional words related to 'Aesthetics' and 'Novelty' were omitted. 'Aesthetics' are expressed by product's appearance and by various visual information while using a product. 'Novelty' are expressed by something that is novel and new that has never been experienced. On the other hand the software-oriented products used rather to find something better and new information than to perform specific tasks such as web extracted a lot of emotional words related to 'Novelty'. Therefore, the results of this research have found evidence that it is desirable to make a set of subjective evaluation scale by the type of products. When making the subjective evaluation scale, it is important to use appropriate emotional words for the purpose of use and the characteristics of those products.

• Journal of the Korean School Mathematics Society
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• v.24 no.1
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• pp.107-126
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• 2021

Lexicon is closely related to human thinking. In particular, a classroom lexicon results from objectifying the teaching-learning activity in classrooms, allowing humans to recognize and explore the activities and phenomena in classrooms explicitly. Therefore, using the lexicon and clarifying what the words mean is to enhance the understanding of teaching activities. The International Classroom Lexicon Project investigates and identifies each country's mathematics classroom lexicon, where ten countries participated. The purpose of this current study is to compare the differences in perceptions between teachers and pre-service teachers about the Korean classroom lexicon previously investigated as a part of the international collaborative project. By comparing the responses of 147 teachers and 127 pre-service teachers, the degree of familiarity with pedagogical terms and the frequency of occurrence or usage in classrooms were compared and analyzed to understand the recognition of pre-service teachers' pedagogical terms. Finally, we also discuss reflections on Korean mathematics teaching practices in Korea.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.03a
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• pp.152-156
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• 2007

• Journal of Biomedical Engineering Research
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• v.19 no.5
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• pp.539-546
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• 1998

The purpose of this study is to estimate human emotion quantitatively under colors and music stimuli and to examine the for correlation between color and music sensibility. Physiological signals(electroencephalogram, electrocardiogram, Galvanic skin conductivity and respiration rate) were measured to compare color with music sensibilities. The personality of the subject were investigated using factor analysis and semantic differential method of 20 items(7 interval scaled). The results showed that red, yellow and violets color provoked active and exciting senses mainly as dance, rock and blues music. While blue, cyan and pink colors ware involved in tranquil and resting emotions deeply as classic and ballade music.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.378-385
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• 2017

The aim of this study was to analyze cohesion and word information among different types of questions in the English reading section of the College Scholastic Ability Tests (CSAT). The types of questions were divided into three categories: macro reading, micro reading, and indirect writing. Reading texts from 1994 to 2017 CSAT were analyzed by Coh-Metrix, an automated evaluation program of text and discourse. The findings of this study indicated that there were statistical differences among the three categories of questions for noun overlap, stem overlap, adversative and contrastive connective, additive connective, pronoun incidence, age of acquisition, concreteness for content word, imagability, and meaningfulness. The information of the findings bore pedagogic implications for developing textbooks, questions for CSAT, and reading strategies by students.

• Journal of the Korea Society of Computer and Information
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• v.15 no.10
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• pp.165-172
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• 2010

There are two method of error correction in vocabulary recognition system. one error pattern matting base on method other vocabulary mean pattern base on method. They are a failure while semantic of key-word problem for error correction. In improving, in this paper is propose system of key-word error correction using algorithm of syllable restoration. System of key-word error correction by processing of semantic parse through recognized phoneme meaning. It's performed restore by algorithm of syllable restoration phoneme apply fluctuation before word. It's definitely parse of key-word and reduced of unrecognized. Find out error correction rate using phoneme likelihood and confidence for system parse. When vocabulary recognition perform error correction for error proved vocabulary. system performance comparison as a result of recognition improve represent 2.3% by method using error pattern learning and error pattern matting, vocabulary mean pattern base on method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5565-5570
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• 2015

Implicit citation sentence recognition is to locate citation sentences which lacks explicit citation markers, from articles' full-text. State-of-the-art approaches exploit word ngrams, clue words, researcher's surnames, mentions of previous methods, and distance relative to nearest explicit citation sentences, etc., reaching over 50% performance. However, most previous works have been conducted on English. As for Korean, a rule-based method using positive/negative clue patterns was reported to attain the performance of 42%, requiring further improvement. This study attempted to learn to recognize implicit citation sentences from Korean literatures' full-text using Korean lexical features. Different lexical feature units such as Eojeol, morpheme, and Eumjeol were evaluated to determine proper lexical features for Korean implicit citation sentence recognition. In addition, lexical features were combined with the position features representing backward/forward proximities to explicit citation sentences, improving the performance up to over 50%.

• Smart Media Journal
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• v.10 no.4
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• pp.102-110
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• 2021

Currently, the advanced construction technology endorsement system is being operated to promote the development of domestic construction technology. We tried to examine the implicit meanings inherent in advanced construction technologies by analyzing the relationship between emerging vocabularies with high importance in relation to the advanced construction technologies endorsed through this system. For this purpose, 918 cases of advanced construction technology information were collected. Based on the endorsed year and summary of the advanced construction technologies, the importance of the emerging vocabularies was measured for each advanced construction technology. And, based on the LDA model, the degree of influence between related vocabularies was evaluated for each of the four topic areas. Topics according to the technical application fields were analyzed. From 1990 to 2021, the trend of changes in highly influential vocabularies by each topic was inferred. In the future, changes in the degree of influence of the topics of environment, machinery, facilities, and maintenance and reinforcement of structures and related technology fields were predicted.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.33-46
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• 2016

The present study aims to investigate how teachers evaluate the Korean textbook they use for teaching primary students with multicultural background. Faced with the rich variety of materials available, it is often a challenging task for language teachers to select the most suitable coursebook. It is required that they carry out a detailed and comprehensive analysis of coursebooks and evaluate them with a set of criteria to guide the process. 32 Korean teachers took part in the primary KSL textbook evaluation that aimed to identify improvement areas. They used a pro-forma specified with 51 criteria. The teachers' responses to the questions in the pro-forma were statistically analyzed to draw implications for material evaluation. The findings of the analysis suggest that the KSL textbook for primary multicultural students need to be improved at the internal and external levels. Implications are discussed with focus on material evaluation and development, and KSL teacher professional development by helping them gain good and useful insights into the nature of the textbook, and sensitizing them to features to look for in teaching and learning materials.

• Journal of KIISE:Software and Applications
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• v.33 no.12
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• pp.1073-1089
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• 2006

The goal of Natural Language Processing(NLP) is to make a computer understand a natural language and to deliver the meanings of natural language to humans. Word sense Disambiguation(WSD is a very important technology to achieve the goal of NLP. In this paper, we describe a technology for automatic homonyms disambiguation using both Mutual Information(MI) and a Sense-Tagged Compound Noun Dictionary. Previous research work using word definitions in dictionary suffered from the problem of data sparseness because of the use of exact word matching. Our work overcomes this problem by using MI which is an association measure between words. To reflect language features, the rate of word-pairs with MI values, sense frequency and site of word definitions are used as weights in our system. We constructed a Sense-Tagged Compound Noun Dictionary for high frequency compound nouns and used it to resolve homonym sense disambiguation. Experimental data for testing and evaluating our system is constructed from QA(Question Answering) test data which consisted of about 200 query sentences and answer paragraphs. We performed 4 types of experiments. In case of being used only MI, the result of experiment showed a precision of 65.06%. When we used the weighted values, we achieved a precision of 85.35% and when we used the Sense-Tagged Compound Noun Dictionary, we achieved a precision of 88.82%, respectively.