• 제목/요약/키워드: Comparative Text Analysis

검색결과 172건 처리시간 0.028초

토픽모델링을 활용한 해운물류 뉴스 분석 (Analysis of Shipping and Logistics News Articles using Topic Modeling)

  • 윤희영;곽일엽
    • 무역학회지
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    • 제46권4호
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    • pp.61-76
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    • 2021
  • This study focuses on three logistics-related news (Logistics Newspaper, Korea Shipping Gadget, and Korea Shipping Newspaper) in order to present changes in logistics issues, centering on Corona 19, which has recently had the greatest impact in the world. For data collection, two-year news articles in 2019 and 2020 (title, article, content, date, article classification, article URL) were collected through web crawling (using Python's BeautifulSoup, requests module) on the homepages of three representative logistics-related media companies. As for the data analysis methods, fundamental statistical analysis, Latent Dirichlet Allocation (LDA) for topic modeling, and Scattertext were performed. The analysis results were as follows. First, among the three news media related to logistics, the Korea Shipping Newspaper was carrying out the most active media activities. Second, through topic modeling with LDA, eight logistics-related topics were identified, and keywords and significant issues of each topic were presented. Third, the keywords were visually expressed through Scattertext. This is the first study to present changes in the logistics field, focusing on articles from representative logistics-related media in 2019 and 2020. In particular, 2019 and 2020 can be divided into before and after the outbreak of Corona 19, which has had a great impact not only on the logistics field but also on our lives as a whole. For future work, a multi-faceted approach is required, such as comparative studies of logistics issues between countries or presenting implications based on long-term time-series articles.

남.북한 중학교 수학과 교육과정 및 교과서 비교분석연구 (The Study of Comparative Analysis of South-North Korean Junior High School′s Educational Process and Text Books in Mathematics)

  • 최지민
    • 한국학교수학회논문집
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    • 제3권1호
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    • pp.165-175
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    • 2000
  • The situation of unification has been changing in the rapid speed. In this condion it is most important that we understand North Korea's current situation correctly, by overcoming the differences between South and North Korea and trying to pursuit the national homogeneity. One of the most effective ways to understand North Korea is to understand their education. So, I wrote this thesis as a way of getting ready for the united Korea by konwing mathematics texts and their system, composition, contents of junior high school in North Korea Anyway, I hope that this study will be helpful to the integration of mathematics education after unification of North and South

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텍스트 기반 프로그래밍 학습과 로보틱스 프로그래밍 학습 간의 학습 효과 비교 분석 (Comparative Analysis of Learning Effect Between Text-Based Programming Learning and Robotics Programming Learning)

  • 김세민;정종인;문채영
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2010년도 추계학술발표논문집 2부
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    • pp.692-695
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    • 2010
  • 본 논문에서는 정보교과에서 알고리즘 및 프로그래밍 관련 학습을 진행하는데 있어서, 기존의 텍스트 기반 프로그래밍과 로보틱스 프로그래밍으로 프로그래밍 학습을 하였을 때의 학습 효과에 대해서 분석하였다. 연구는 초등학교 고학년 학생들을 대상으로 하였고, 학습에 필요한 학습 프로그램은 기존 텍스트기반 프로그래밍 학습 도구로는 Visual C를, 로보틱스 프로그래밍 학습도구로는 MSRDS(Microsoft Robotics Developer Studio)에서 제공하는 Visual Programming Language를 이용하였다. 그 결과 학생들의 흥미도와 몰입도가 상승하였고, 알고리즘 이해도와 과제 수행 능력이 증가하였음을 확인할 수 있었다. 본 연구에서 제안하는 로보틱스 프로그래밍 학습은 개정 교육과정에서 제안하는 알고리즘을 통한 문제해결능력 신장에 도움이 될 것으로 기대한다.

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A Visual and Contextual Comparative Study of the Work of Picasso and Chanel Towards an Understanding of the Overlaps Between Modern Art and Fashion

  • Forster, Samantha Vettese
    • International Journal of Costume and Fashion
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    • 제12권2호
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    • pp.15-32
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    • 2012
  • From the beginning of the twentieth century, 'Modernism' impacted and transformed art and clothing. Pablo Picasso and Gabrielle 'Coco' Chanel were two of the most central characters in Modernism working simultaneously in their disciplines. Picasso's innovations, particularly in abstract art and Chanel's fashion designs, that dramatically departed from the previous corseted and highly decorative styles, were so significant that they have left an influence on contemporary art and fashion. This study will compare their visual works and documented evidence of their motivations, within the context of their cultural backgrounds, to reveal meaning in the occurrences of overlaps. This approach has examined the historical, cultural background of the artist and designer's environment from different perspectives, adding to previous research in this area. Through this research, outcomes of the analysis have shown similarities and divergences in the wider genres of art and fashion and the practice of the artist and fashion designer. The reference list to this text, used in the survey, gives a comprehensive overview of pertinent publications disseminating Picasso and Chanel's visual works, oral perspectives and cultural impact.

LabVIEW를 사용한 텍스트/시각 프로그래밍 교육의 유용성 비교 분석 (A Comparative Analysis of the Text/Visual Programming Education Using LabVIEW)

  • 노영욱;정민포;조혁규;정덕길
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2012년도 추계학술대회
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    • pp.347-350
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    • 2012
  • 컴퓨터 프로그래밍 교육은 컴퓨터과학 분야의 관련 전공과목을 공부하기 위하여 매우 중요할 뿐만 아니라, 학생들의 취업을 위한 기술 교육에서도 매우 중요하다. 이 논문에서는 학생들의 교육 및 취업에 적합한 교육용 및 상용 프로그래밍 언어, 도구에 대한 타당성을 분석하여 프로그래밍 교육에 적합한 프로그래밍 언어/도구를 선택하고, 이에 대한 교육 과정을 개발하여 프로그래밍 현장 교육에 적용하고 분석한다. 특히, 최근의 기술 추세와 산업계에 필요한 임베디드/모바일/웹/3D 프로그래밍 분야에 널리 사용되고 있는 프로그래밍 분야에서 텍스트 기반 언어(예: JAVA)와 시각 프로그래밍 언어/환경(예: LabVIEW)에 대한 유용성을 비교하여 분석한다.

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Objective Material analysis to the device with IoT Framework System

  • Lee, KyuTae;Ki, Jang Geun
    • International Journal of Advanced Culture Technology
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    • 제8권2호
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    • pp.289-296
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    • 2020
  • Software copyright are written in text form of documents and stored as files, so it is easy to expose on an illegal copyright. The IOT framework configuration and service environment are also evaluated in software structure and revealed to replication environments. Illegal copyright can be easily created by intelligently modifying the program code in the framework system. This paper deals with similarity comparison to determine the suspicion of illegal copying. In general, original source code should be provided for similarity comparison on both. However, recently, the suspected developer have refused to provide the source code, and comparative evaluation are performed only with executable code. This study dealt with how to analyze the similarity with the execution code and the circuit configuration and interface state of the system without the original source code. In this paper, we propose a method of analyzing the data of the object without source code and verifying the similarity comparison result through evaluation examples.

한국어 언어학적 특성 기반 감성분석 모델 비교 분석 (Comparative Study of Sentiment Analysis Model based on Korean Linguistic Characteristics)

  • 김경민;박찬준;조재춘;임희석
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2019년도 제31회 한글 및 한국어 정보처리 학술대회
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    • pp.149-152
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    • 2019
  • 감성분석이란 입력된 텍스트의 감성을 분류하는 자연어처리의 한 분야로, 최근 CNN, RNN, Transformer등의 딥러닝 기법을 적용한 다양한 연구가 있다. 한국어 감성분석을 진행하기 위해서는 형태소, 음절 등의 추가 자질을 활용하는 것이 효과적이며 성능 향상을 기대할 수 있는 방법이다. 모델 생성에 있어서 아키텍쳐 구성도 중요하지만 문맥에 따른 언어를 컴퓨터가 표현할 수 있는 지식 표현 체계 구성도 상당히 중요하다. 이러한 맥락에서 BERT모델은 문맥을 완전한 양방향으로 이해할 수있는 Language Representation 기반 모델이다. 본 논문에서는 최근 CNN, RNN이 융합된 모델과 Transformer 기반의 한국어 KoBERT 모델에 대해 감성분석 task에서 다양한 성능비교를 진행했다. 성능분석 결과 어절단위 한국어 KoBERT모델에서 90.50%의 성능을 보여주었다.

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The Impact of Topic Distribution on Review Sentiment: A Comparative Study between South Korea and the U.S.

  • Cho, Mina;Hwang, Dugmee;Jeon, Seongmin
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2022년도 춘계학술대회
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    • pp.123-126
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    • 2022
  • Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two important aspects of online reviews are first, the topics consumers choose to address and second, the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre-and post-pandemic periods. After performing topic modeling on Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. Also, the order and magnitude of topics' impact on review sentiment change between pre-and post-pandemic periods for both countries. This study can help businesses to understand how topics and sentiments associated with their products and services changed after pandemic, and also help them identify areas of improvement.

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