• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.290-299
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• 2010

This study aims to evaluate the efficiency of superior appraisal corporations using DEA(Data Envelopment Analysis). DEA is known as a method for evaluating relative efficiency of organizations with multiple inputs and outputs. We used CCR-O and BCC-O DEA models to evaluate relative efficiency of superior appraisal corporations. Input variable is number of appraisers, output variables are total sales and net income. Total of 13 appraisal corporations in Korea were selected for this study, and the data were collected from financial reports for 2008 fiscal year. The result of this study is summarized as follows. First, the average of superior appraisal corporation's technical efficiency score is about 88.3% by applying CCR-O model. Second, the average of superior appraisal corporation's pure technical efficiency score is about 90% and scale efficiency score is about 98.2% by applying BCC-O model. According to the result of DEA, the cause of inefficiency is pure technical efficiency.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.1
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• pp.80-88
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• 2013

This study is to suggest the need to apply appraisal in calculating estimated compensation in order to efficiently implement the national cadastral resurvey project. The results from this research are summarized as follows. First, it is expected that the need to calculate estimated compensation would increase in the near future because current cadstral records do not reflect the reality. Second, the calculation and adjustment of estimated compensation can not be performed by officially assessed individual land price because the true value of a land can not be evaluated on the basis of the individual land price. Third, a variety of evaluation techniques such as individual evaluation and partial evaluation would be required in calculating estimated compensation depending on the type of land. In addition, an expert appraisal would be applied to the calculation of estimated compensation in order to achieve the purpose of fair estimated compensation.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.1-17
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• 2015

In domestic game market, the video game market is getting smaller and also decreasing funds and high level developers. So we need the software that can help us to make more realistic and high quality contents by non-expert developer in poor environments. In this paper, we selected global studio's animations which were scored good evaluation by public and critics as a well-made emotional expression that can convey the emotion properly. We selected movements that express emotions from the animation scripts by using Ekman's 6 basic emotions and Greimas' dynamic predicate, and then we had analyzed and categorized with the data. We also analyzed the movements for which data we needed to create specific movements to express emotions by using 'Animation Layer' that used in Unity's blending process. And suggest concept of the program that to create the emotional expression movements by using those analyzed data.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.946-950
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• 2010

Many sentiment categorization systems based on machine learning methods use morphological analyzers in order to extract linguistic features from sentences. However, the morphological analyzers do not generally perform well in a customer review domain because online customer reviews include many spacing errors and spelling errors. These low performances of the underlying systems lead to performance decreases of the sentiment categorization systems. To resolve this problem, we propose a feature extraction method based on simple longest matching of Eojeol (a Korean spacing unit) and phoneme patterns. The two kinds of patterns are automatically constructed from a large amount of POS (part-of-speech) tagged corpus. Eojeol patterns consist of Eojeols including content words such as nouns and verbs. Phoneme patterns consist of leading consonant and vowel pairs of predicate words such as verbs and adjectives because spelling errors seldom occur in leading consonants and vowels. To evaluate the proposed method, we implemented a sentiment categorization system using a SVM (Support Vector Machine) as a machine learner. In the experiment with Korean customer reviews, the sentiment categorization system using the proposed method outperformed that using a morphological analyzer as a feature extractor.

• Smart Media Journal
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• v.9 no.4
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• pp.144-151
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• 2020

In a mobile environment, communication takes place via SMS text messages. Vocabularies used in SMS texts can be expected to use vocabularies of different classes from those used in general Korean literary style sentence. For example, in the case of a typical literary style, the sentence is correctly initiated or terminated and the sentence is well constructed, while SMS text corpus often replaces the component with an omission and a brief representation. To analyze these vocabulary usage characteristics, the existing colloquial style corpus and the literary style corpus are used. The experiment compares and analyzes the vocabulary use characteristics of the colloquial corpus SMS text corpus and the Naver Sentiment Movie Corpus, and the written Korean written corpus. For the comparison and analysis of vocabulary for each corpus, the part of speech tag adjective (VA) was used as a standard, and a distinctive collexeme analysis method was used to measure collostructural strength. As a result, it was confirmed that adjectives related to emotional expression such as'good-','sorry-', and'joy-' were preferred in the SMS text corpus, while adjectives related to evaluation expressions were preferred in the Naver Sentiment Movie Corpus. The word embedding was used to automatically construct a sentiment lexicon based on the extracted adjectives with high collostructural strength, and a total of 343,603 sentiment representations were automatically built.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1244-1247
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• 2015

본 논문에서는 소상공인의 창업 성공을 지원하는 점포 평가 분석 사례를 소개하여 기업의 빅데이터 도입 및 활용을 촉진하고자 한다. 본 사례에서는 카드사 거래 정보, 가맹점 정보, 부동산 가격 정보, 부동산 통계 정보, 감정평가 정보, 조사업무관련 정보 및 인허가 개폐업 정보를 활용해 36만개의 GIS 블록과 GEO 컨텐츠를 생산하여 빅데이터 분석을 실시하였다. 체계적인 분석을 위해 상권 평가 지수, 업종 평가 지수, 입지 평가 지수, 임대료 추정, 매출 추정, 적정면적 추정 등의 상권, 업종, 입지에 대한 지표를 개발하였다. 이를 통해 상가와 상권에 대한 분석 자료를 제공하여 과밀창업의 예방과 신중한 창업의 유도를 통해 창업실패로 유발 될 수 있는 경제적 비용의 감소 효과를 이룰 것으로 판단된다.

• Survey Research
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• v.11 no.1
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• pp.63-85
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• 2010

This study defines the substance and multi-dimension of emotional reactions which Koreans have toward foreigners to find the starting point of change in values which is an inevitable task in this multi-cultural society. The results indicate that the Bogardus scale which has been used to measure the social distance toward the minority race is found to have limitations in explaining the closed attitude of Koreans toward 'nation' and 'kinship through marriage'. To supplement such limitations, exploration on attitudes toward foreigners from different native places is performed based on the 'evaluation', 'power' and 'activity' dimensions of the Affective Control Theory. As a result, Americans are highly evaluated in all three dimensions while Japanese are evaluated low in the 'evaluation' dimension and high in the 'power' and 'activity' dimensions. North Korean defectors and ethnic Koreans from China (the Chosun race) are high in evaluation but low in other dimensions. West Asians are evaluated low in all three dimensions. By comprehending the influencing factors and the relative influence of social distance, it proves that the 'evaluation' dimension is the common denominator in all groups while 'power' dimension toward Japanese and 'activity' dimensions toward Chinese and West Asians influence social distance. All foreigners excluding Americans receive closer social distance when having higher education level. Moreover, American women and older North Korean defectors receive closer social distance.

• Journal of Korean Classical Literature and Education
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• no.38
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• pp.175-200
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• 2018

From the point of view of the law and public morals in Yi-dynasty, it is possible to discover new meanings in the love of Chunhyang and Mongryong-Lee, the conflicts between Chunhyang and Hakdo-Byeon, and the rescue of Chunhyang by Mongryong-Lee as a secret royal inspector. First, although the love of Chunhyang and Mongryong-Lee was against the law and public morals of Yi-dynasty, the narrator did not call to account, but he described the love as a romantic and new one conflicting with the ruling system. And it was an unprecedented case that Chunhyang asked a written contract as a legal guarantee for marriage when Mongryong-Lee courted her. Second, Hakdo-Byeon, the Namwon county governor, accused Chunhyang, a female entertainer of the Namwon county, of disobedience to his oder and contempt of him, and interrogated her with torture when she denied his demand for bed service which was prohibited by law. Chunhyang refuted against him and regarded his demand for bed service as the rape of a married woman. In this process, narrator sharply contrasted Chunhyang's claim for human rights with Hakdo-Byeon's legal administration. Characters such as people of Namwon county and king did not call Mongryong-Lee to account for that he, as a secret royal inspector, allegedly used his power privately to rescue his sweetheart Chunhyang from Hakdo-Byeon's illegal oppression. These different judgements on legal administrations of Hakdo-Byeon and Mongryong-Lee came from the legal emotion of characters and reading publics of . Namely, people who sympathized with Chunhyang's claim for love and human rights had the legal emotion that Mongryong-Lee's administrative order suspending Hakdo-Byeon's govenor's status could be approved as an legal and exciting one. Therefore the love of Chunhyang and Mongryong-Lee implied a new legal emotion which based on the sympathy with Chunhyang's human rights consciousness, and regarded the positive law of Yi - dynasty as one behind times.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.144-150
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• 2013

The purpose of this study was to evaluate the competence level of the caregiver and verify empirically the evaluated score of the competence level of the caregiver depending on the type of career and employment to propose a measure to improve the quality of care services. To more accurately evaluate the competence level of caregiver, the collected data were analyzed using fuzzy relationships for identifying the extent of relationship, after setting weighted values for the evaluation factors for working levels and service qualities. Such approach has a significance in that individual evaluation factors and individual's competence levels for caregivers may be more suitably and exactly identified. The analysis results are as follows. Care skill, reliability, assurance, typicality were statistically significant according to the caregiver's career. Also, according to the types of employment, job consciousness, responsiveness, empathy, typicality were statistically significant. To improve the competence level of the caregiver, it may be seen that improvement of job consciousness considering the career and employment types and making environments for acquiring the care skills should be done, while providing stability of the employment types rather than careers is more meaningful to improve the quality of services.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.06a
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• pp.95-98
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• 2016

민주주의의 꽃, 제 20 대 국회의원 선거가 막을 내렸다. 지난 선거에서는 방송사뿐만 아니라 정당들도 엄청난 비용 지출과 노력이 소요되었다. 한 예로, 지난 4. 13 총선거 (제 20 대 국회의원)에서 방송 3 사 출구조사 비용으로 약 66 억원 이상이 지출됐다. 그리고 정당에서는 여론조사 비용으로 약 70 억원 이상을 지출했다. 이러한 큰 비용 지출과, 담당자들의 노력을 줄이기 위해 본 논문에서는 텍스트 마이닝과 감정분석을 적용한 후보 당선자 예측 어플리케이션을 제안한다. 첫째, 소셜 그래프 모델을 소개하여 지역 구조를 발견한다. 둘째, 텍스트 마이닝 기법을 이용하여, 후보자 관련 데이터를 가공한다. 셋째, 텍스트 감정 분석을 통해 후보자의 정보를 수치화 한다. 본 논문의 성능과 효율성을 평가하기 위해, 제 20 대 국회의원 선거에 사례연구를 진행하였다. 제안한 방법이 정확도와 수학적 통계 검증을 통해 가치 있는 효율성을 보였다. 선거방송을 위한 후보자 예측 도구의 도입으로 향후 선거(방송)에서의 큰 비용과 노력을 줄이는데 도움을 줄 것이라 기대한다.