• 동남아시아연구
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• 제21권2호
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• pp.263-291
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• 2011

The purpose of this study is to see and compare the contemporary Korean-Thai female poems from a feminine standpoint to newly clarify the textuality of their poems. The textuality defined in this manuscript is the text of Korean-Thai contemporary female poems. To newly clarify the textuality of their poems are to go against the existing discussion method and to newly read out the text as re-vision method. This discussion is to analyse deeply how the central exis composing a text which is the identity of woman in a body, appearance of uttrance, or action of abjection is exposed in gender space and to identify the poem's textuality. In other words, through in-depth analysis of the text of poems, which are very complicated as a skein of yarn, place a high value of Korean-Thai female poems. Transcending time, nations and races, if the text of female poem would not free from a biased male-dominated thinking or make a mystery of female poem textuality without critics or tend to be stereotype the text of poem as pathos of female, it would not get out from man-centered reading. To escape from the state of sexual discrimination, the new reading method was seriously analysed and found out that the female text poems not only implicate sexual discrimination but also link to expansive cultural and social structure. And for that reason, this study raise a question to male-dominant sexual discriminated norm. It is very significant that through this elaborate and in-depth text poem analysis, a creation process of female poem is traced. Eventually, the comparative study on Korean-Thai female poems is meaningful and worthy in regard to the contribution to promotion of cultural exchange between korea-Thai two nations and furthermore extend to East Asia to make a basement for the vitalization of Asia comparative literature.

• ETRI Journal
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• 제44권5호
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• pp.794-804
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• 2022

Transformer models have had a great impact on natural language processing (NLP) in recent years by realizing outstanding and efficient contextualized language models. Recent studies have used transformer-based language models for various NLP tasks, including Persian named entity recognition (NER). However, in complex tasks, for example, NER, it is difficult to determine which contextualized embedding will produce the best representation for the tasks. Considering the lack of comparative studies to investigate the use of different contextualized pretrained models with sequence modeling classifiers, we conducted a comparative study about using different classifiers and embedding models. In this paper, we use different transformer-based language models tuned with different classifiers, and we evaluate these models on the Persian NER task. We perform a comparative analysis to assess the impact of text representation and text classification methods on Persian NER performance. We train and evaluate the models on three different Persian NER datasets, that is, MoNa, Peyma, and Arman. Experimental results demonstrate that XLM-R with a linear layer and conditional random field (CRF) layer exhibited the best performance. This model achieved phrase-based F-measures of 70.04, 86.37, and 79.25 and word-based F scores of 78, 84.02, and 89.73 on the MoNa, Peyma, and Arman datasets, respectively. These results represent state-of-the-art performance on the Persian NER task.

• 한국빅데이터학회지
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• 제1권2호
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• pp.35-44
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• 2016

국내 전자상거래 시장 내 소셜커머스와 멀티채널 유통업체간 최저가 경쟁이 점점 치열해 지고 있는 가운데 소셜커머스와 멀티채널 유통업체간 성공요인에 대한 실증분석의 필요성이 대두되고 있다. 설문조사 방법론 중심의 기존 선행연구와 달리 본 연구에서는 텍스트마이닝 기법을 이용하여 소셜커머스와 멀티채널 유통업체의 핵심 성공요인 토픽을 도출하고 감성의 차이를 비교 분석하였다. 본 연구의 결과는 유통업체간 경쟁전략에 대한 실무적인 시사점을 제공함과 동시에, 향후 다양한 형태의 확장 연구에 기여할 수 있을 것으로 기대한다.

• 한국학교수학회논문집
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• 제2권1호
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• pp.207-218
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• 1999

The purpose of this thesis is to help the teachers in school to widen the knowledge and to understand the North Korean society by comparative analysis of South and North Korean elementary school's mathematics education process and text books. It is needless to say that we need to have more knowledge and understanding about North Korea as the international and national situation is changing so rapidly these days. One of the most effective ways to understand North Korea is to understand their education. So, 1 wrote this thesis as a way of getting ready for the united Korea by knowing mathematics texts and their system, composition, contents of elementary school in North Korea If this little try is going to be a help in anyway, I will try to do a better study in future.

• 중국학논총
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• 제70호
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• pp.87-108
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• 2021

This paper makes a comparative analysis of and (Third Edition) textbook. In the introduction part, it puts forward the purpose, significance and research object of the text, combs the general situation of the research on the arrangement of business Chinese textbook, discusses the concept and characteristics of business Chinese, and then makes a detailed comparative analysis of and Two Business Textbooks for Korean and Chinese. Firstly, the paper compares the compiling principles, compiling purposes and applicable objects. Then, it compares the text content, vocabulary selection, grammar teaching, culture and other aspects. Business Chinese has more international teaching ideas and diversified teaching methods in textbook editing, while the former is more targeted in different countries, reflecting more contents of cultural comparison between China and Korea in textbook content. we hope to find a reasonable plan for the compilation of Korean business Chinese textbooks.

• 한국동물학회:학술대회논문집
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• 한국동물학회 1998년도 한국생물과학협회 학술발표대회
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• pp.249.1-249
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• 1998

No Abstract, See Full Text

• 한국동물학회:학술대회논문집
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• 한국동물학회 2001년도 한국생물과학협회 학술발표대회
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• pp.85.1-85
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• 2001

No Abstract, See Full Text

• 한국동물학회:학술대회논문집
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• 한국동물학회 1995년도 한국생물과학협회 학술발표대회
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• pp.328.2-328
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• 1995

No Abstract, See Full Text

• 한국동물학회:학술대회논문집
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• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
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• pp.205.1-205
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• 2003

No Abstract, See Full Text

• 품질경영학회지
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• 제51권4호
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• pp.701-713
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• 2023

Purpose: The primary purpose of this study is to integrate text mining and Quality Function Deployment (QFD) to automatically extract valuable information from customer reviews, thereby establishing a QFD frame- work to confirm genuine customer needs for New Product Development (NPD). Methods: Our approach combines text mining and QFD through topic modeling and sentiment analysis on a large data set of 56,873 customer reviews from Zappos.com, spanning five running shoe brands. This process objectively identifies customer requirements, establishes priorities, and assesses competitive strengths. Results: Through the analysis of customer reviews, the study successfully extracts customer requirements and translates customer experience insights and emotions into quantifiable indicators of competitiveness. Conclusion: The findings obtained from this research offer essential design guidance for new product develop- ment endeavors. Importantly, the significance of these results extends beyond the running shoe industry, presenting broad and promising applications across diverse sectors.