• 제목/요약/키워드: Korean text analysis

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한·태 여성시의 텍스트성 비교 -페미니즘적 관점에서- (A Comparative Study of Textuality in Korean-Thai Female Poems -Feminism Point of View-)

  • 임명숙
    • 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.

The Impact of Transforming Unstructured Data into Structured Data on a Churn Prediction Model for Loan Customers

  • Jung, Hoon;Lee, Bong Gyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권12호
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    • pp.4706-4724
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    • 2020
  • With various structured data, such as the company size, loan balance, and savings accounts, the voice of customer (VOC), which is text data containing contact history and counseling details was analyzed in this study. To analyze unstructured data, the term frequency-inverse document frequency (TF-IDF) analysis, semantic network analysis, sentiment analysis, and a convolutional neural network (CNN) were implemented. A performance comparison of the models revealed that the predictive model using the CNN provided the best performance with regard to predictive power, followed by the model using the TF-IDF, and then the model using semantic network analysis. In particular, a character-level CNN and a word-level CNN were developed separately, and the character-level CNN exhibited better performance, according to an analysis for the Korean language. Moreover, a systematic selection model for optimal text mining techniques was proposed, suggesting which analytical technique is appropriate for analyzing text data depending on the context. This study also provides evidence that the results of previous studies, indicating that individual customers leave when their loyalty and switching cost are low, are also applicable to corporate customers and suggests that VOC data indicating customers' needs are very effective for predicting their behavior.

Relevant Analysis on User Choice Tendency of Intelligent Tourism Platform under the Background of Text mining

  • Liu, Zi-Yang;Liao, Kai;Guo, Zi-Han
    • 한국컴퓨터정보학회논문지
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    • 제24권9호
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    • pp.119-125
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    • 2019
  • The purpose of this study is to find out the relevant factors of the choice tendency of tourism users to Intelligent Tourism platform through big data analysis, which will help enterprises to make accurate positioning and improvement according to user information feedback in the tourism market in the future, so as to gain the favor of users' choice and achieve long-term market competitiveness. This study takes the Intelligent Tourism platform as the independent variable and the user choice tendency as the dependent variable, and explores the related factors between the Intelligent Tourism platform and the user choice tendency. This study make use of text mining and R language text analysis, and uses SPSS and AMOS statistical analysis tools to carry out empirical analysis. According to the analysis results, the conclusions are as follows: service quality has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with tourism trust; Tourism Trust has a significant positive correlation with user choice tendency; service quality has a significant positive correlation with user experience; user experience has a significant positive correlation with user choice tendency Positive correlation effect.

수학 담화에서 나타나는 교사의 감성적 언어 빈도 분석 (The Frequency Analysis of Teacher's Emotional Response in Mathematics Class)

  • 손복은;고호경
    • 한국수학교육학회지시리즈E:수학교육논문집
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    • 제32권4호
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    • pp.555-573
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    • 2018
  • 본 연구는 텍스트 마이닝 기법을 활용하여 수학수업에서 나타나는 교사의 감성적 언어를 확인하고자 하였다. 이를 위해 우수 수업 동영상을 활용하여 수업에서 발생하는 교사의 수업 언어 데이터를 수집하였다. 추출한 비정형 데이터에 대한 분석 과정은 데이터 수집, 데이터 전처리, 텍스트 마이닝 분석의 세 가지 단계로 진행하였다. 분석 결과 수학 수업에서 오고가는 담화 중에서 교사의 감성적 반응을 나타내는 언어는 거의 나타나지 않았으며, 이를 통해 수업의 정의적 영역 측면에서의 시사점을 도출하였다.

통상 이해관계자 간 상호작용 관련 텍스트 네트워크 분석(TNA) - 한국 통상부처와 입법부 관계를 중심으로 (Text Network Analysis of Korean Trade Stakeholder's Interactions - A Focus on the Trade Ministry and the Legislature)

  • 고보민
    • 무역학회지
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    • 제45권6호
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    • pp.23-43
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    • 2020
  • This study aims at analyzing the interactions between two of the most significant trade stakeholders in Korea, the Trade Ministry and the Legislature, using text network analysis. Tackling seven Action and Plan Reports for Requests from Parliamentary Inspection released by the National Assembly, this paper conducts a topic modelling analysis, particularly focusing on the reports for the three trade-related institutes: the MOTIE headquarter, Korea Trade Insurance Corporation, Korea Trade and Investment Promotion Agency. According to the analysis, such traditional topics of the MOTIE as enterprise, industry, business, management, development were frequently appeared in the reports. Trade-related topics including export, trade, commerce, investment, overseas, domestic, dispute, cooperation, efficiency, negotiation, service, promotion were repeatedly shown. Lastly, a case study on 2019 Parliamentary Inspection Report showed specific trade-related topics and relevant contents that raised issues in that year. This analysis implies that the text data driven from the Parliamentary Inspection Reports between the MOTIE and the National Assembly, can be established as so called 'trade policy information system' which are valuable not only for the two but also the rest of the trade stakeholders in Korea.

The Adaptive SPAM Mail Detection System using Clustering based on Text Mining

  • Hong, Sung-Sam;Kong, Jong-Hwan;Han, Myung-Mook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권6호
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    • pp.2186-2196
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    • 2014
  • Spam mail is one of the most general mail dysfunctions, which may cause psychological damage to internet users. As internet usage increases, the amount of spam mail has also gradually increased. Indiscriminate sending, in particular, occurs when spam mail is sent using smart phones or tablets connected to wireless networks. Spam mail consists of approximately 68% of mail traffic; however, it is believed that the true percentage of spam mail is at a much more severe level. In order to analyze and detect spam mail, we introduce a technique based on spam mail characteristics and text mining; in particular, spam mail is detected by extracting the linguistic analysis and language processing. Existing spam mail is analyzed, and hidden spam signatures are extracted using text clustering. Our proposed method utilizes a text mining system to improve the detection and error detection rates for existing spam mail and to respond to new spam mail types.

텍스트 분석의 신뢰성 확보를 위한 스팸 데이터 식별 방안 (Detecting Spam Data for Securing the Reliability of Text Analysis)

  • 현윤진;김남규
    • 한국통신학회논문지
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    • 제42권2호
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    • pp.493-504
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    • 2017
  • 최근 뉴스, 블로그, 소셜미디어 등을 통해 방대한 양의 비정형 텍스트 데이터가 쏟아져 나오고 있다. 이러한 비정형 텍스트 데이터는 풍부한 정보 및 의견을 거의 실시간으로 반영하고 있다는 측면에서 그 활용도가 매우 높아, 학계는 물론 산업계에서도 분석 수요가 증가하고 있다. 하지만 텍스트 데이터의 유용성이 증가함과 동시에 이러한 텍스트 데이터를 왜곡하여 특정 목적을 달성하려는 시도도 늘어나고 있다. 이러한 스팸성 텍스트 데이터의 증가는 방대한 정보 가운데 필요한 정보를 획득하는 일을 더욱 어렵게 만드는 것은 물론, 정보 자체 및 정보 제공 매체에 대한 신뢰도를 떨어뜨리는 현상을 초래하게 된다. 따라서 원본 데이터로부터 스팸성 데이터를 식별하여 제거함으로써, 정보의 신뢰성 및 분석 결과의 품질을 제고하기 위한 노력이 반드시 필요하다. 이러한 목적으로 스팸을 식별하기 위한 연구가 오피니언 스팸 탐지, 스팸 이메일 검출, 웹 스팸 탐지 등의 분야에서 매우 활발하게 수행되었다. 본 연구에서는 스팸 식별을 위한 기존의 연구 동향을 자세히 소개하고, 블로그 정보의 신뢰성 향상을 위한 방안 중 하나로 블로그의 스팸 태그를 식별하기 위한 방안을 제안한다.

DCT계수와 천이지도 분석을 이용한 개선된 영상 내 자막영역 검출방법 (An Improved Method for Detecting Caption in image using DCT-coefficient and Transition-map Analysis)

  • 안권재;주성일;김계영;최형일
    • 한국컴퓨터정보학회논문지
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    • 제16권4호
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    • pp.61-71
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    • 2011
  • 본 논문은 DCT계수와 천이지도 분석을 이용하여 영상 내 자막영역을 검출하는 방법에 대해 제안한다. 기존 DCT계수 분석방법을 이용한 문자영역탐지 방법은 검출률은 높으나 오검출률이 매우 높은 단점이 있고, 천이지도를 이용한문자영역 탐지 방법은 임계값이 정적이기때문에 문자영역 검증단계에서 실제문자영역이 기각되는 일이 빈번히 발생한다. 이러한 문제점을 해결하기 위해 DCT계수 분석방법을 이용하여 유망문자영역맵을 작성하고 이를 천이지도를 이용한 문자영역탐지 방법에 적용하여 임계값을 단계별로 정한다. 그 결과로서 DCT계수 분석을 이용한 문자영역검출방법에 비해 오검출률이 크게 감소하였으며, 기존 천이지도를 이용한 문자영역검출 방법보다 검출률이 크게 향상되었다.

저가항공 관련 국내학술지 네트워크 텍스트 분석 (Bibliometric Network Analysis on Low Cost Carrier Research)

  • 나진성;최동현
    • 한국항공운항학회지
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    • 제23권1호
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    • pp.14-23
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    • 2015
  • This study applied the network text analysis to reveal the scope and trends of low cost carrier studies. We analyzed low cost carrier research published in Korean journals and news articles. The results showed that there are three clusters in terms of research topics. First dimension consists of articles investigating growth in the low cost carrier industry. The second dimension is associated with service characteristics. The last dimension has strong ties organizational and human resource dimension. We run Krkwic, Krtitle, Netdraw, and Ucinet 6.0 to conduct the network text analysis. This study suggests the direction of low cost carrier research in the future.

"맹자" "호연지기 장"의 텍스트언어학적 접근 (A Text Linguistic Approach to the Chapter Hoyeonjigi of Mencius)

  • 이석규
    • 인문언어
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    • 제5권
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    • pp.127-163
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    • 2003
  • This thesis analyzes the Chapter "Hoyeonjigi(浩然之氣)" of Mencius(孟子), using text linguistics theory and reading theory of Korean. In this process the model of macro-structure #1∼5 are presented, according to Vandijk′s rules of macro-structure; Auslassen, Selektierne, Generalisieren, Konstruieren odor Integrieren. As a result, this certifies; First, macro-structure could make arbitrarily a several steps of macro-structure by types of text or purpose of analysis. Second, macro-structure applies various cognitive mechanisms of outer world as well as inner world. Third, a text with profound symbolism could be figured as a two-or threefolded symbolic structure. At the same time, macro-structure enables the clearer analysis of the content of the Chapter to verify the following; first, Hoyeinjigi itself is the best measure of developing "Imperturbable Mind(不動心)" Second, benevolence-righteousness(仁義) and wisdom(智) would be reached by cultivating Hoyeonjigi. Third, Mencius′ own view of language is well expressed in "Jieon(知言)", which is not only a condition for Imperturbable Mind, but also the Oriental view of language focused especially on listening in terms of language usage, not language analysis. This Mencius′ view of language has a thread connection with that of Oriental′s.

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