• Title/Summary/Keyword: 기사주목도

Search Result 71, Processing Time 0.027 seconds

The Trends of Eco-Friendly Textiles Using Big Data from Newspaper Articles (신문기사 빅데이터를 활용한 친환경 섬유의 추이에 관한 연구)

  • Nam Beom Cho;Choong Kwon Lee
    • Smart Media Journal
    • /
    • v.13 no.2
    • /
    • pp.95-107
    • /
    • 2024
  • The development of environmentally friendly products and services has become a trend, and the development and utilization of eco-friendly textiles with economic value is gaining attention as a new business model. Analyzing and identifying trends and developments in eco-friendly textiles can provide important information and insights for various stakeholders such as companies, governments, and consumers to help them achieve sustainable growth. For this study, we collected and analyzed data from newspaper articles mainly covering the textile and fashion sector from 2000 to June 2023. A total of 12,331 articles containing the keyword 'eco-friendly textiles' were collected, and after performing morphological analysis on the extracted data, Latent Dirichlet Allocation and Dynamic Topic Modeling analysis were performed to identify topics by year. The results of the study are expected to provide strategic guidance and insights for the sustainable development of the textile industry, thereby helping to promote the research, development, and commercialization of eco-friendly textiles.

Sentimental Analysis Research Trends (감성분석 연구 동향)

  • Lee, Jung-Hoon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2018.05a
    • /
    • pp.358-361
    • /
    • 2018
  • 비정형 데이터 증가로 텍스트 마이닝을 사용해 데이터를 분석하는 연구가 주목받고 있다. 감성분석은 단어와 문맥을 분석하여 텍스트의 감정을 파악하는 기술이다. 본 논문에서는 감성분석 연구 동향, 적용분야, 방법론에 관해 분석하고 기술하려 한다. 감성분석은 2001년 채팅의 감정을 분석하면서 시작되었고, 2008년부터 본격적으로 연구가 진행되었다. 감성분석은 SNS, 상품 후기, 영화평, 뉴스 기사 등 다양한 데이터에 적용되고 있으며, 사회이슈 찬반 분석과 장소 선호도 분석 등 다양한 연구에서 사용되었다. 감성분석 방법은 감성사전을 이용하는 방식과 기계학습을 사용하는 방식으로 나누어지며 분석 방법을 발전시키기 위한 연구가 진행되고 있다.

The Right To Be Forgotten and the Right To Delete News Articles A Critical Examination on the Proposed Revision of The Press Arbitration Act (기사 삭제 청구권 신설의 타당성 검토 잊힐 권리를 중심으로)

  • Mun, So Young;Kim, Minjeong
    • Korean journal of communication and information
    • /
    • v.76
    • /
    • pp.151-182
    • /
    • 2016
  • The right to be forgotten (RTBF) has been a population notion to address privacy issues associated with the digitalization of information and the dissemination of such information over the global digital network. In May 2014, the European Court of Justice (ECJ) laid down a landmark RTBF decision to grant individuals the right to be de-listed from search results. ECJ's RTBF decision sparked an increased interest in RTBF in South Korea. Academic and non-academic commentators have provided a mistaken or outstretched interpretation of RTBF in claiming that removal of news articles should be read into RTBF in Korean law. Moreover, the Press Arbitration Commission of Korea (PAC) has proposed revising the Press Arbitration Act (PAA) to allow the alleged victims of news reporting to request the deletion of news stories. This article examines the notion of RTBF from its origin to the latest development abroad and also critically explores Korean laws regulation freedom of expression to evaluate if Korea needs the proposed PAA revision.

  • PDF

Quantitative Text Mining for Social Science: Analysis of Immigrant in the Articles (사회과학을 위한 양적 텍스트 마이닝: 이주, 이민 키워드 논문 및 언론기사 분석)

  • Yi, Soo-Jeong;Choi, Doo-Young
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.5
    • /
    • pp.118-127
    • /
    • 2020
  • The paper introduces trends and methodological challenges of quantitative Korean text analysis by using the case studies of academic and news media articles on "migration" and "immigration" within the periods of 2017-2019. The quantitative text analysis based on natural language processing technology (NLP) and this became an essential tool for social science. It is a part of data science that converts documents into structured data and performs hypothesis discovery and verification as the data and visualize data. Furthermore, we examed the commonly applied social scientific statistical models of quantitative text analysis by using Natural Language Processing (NLP) with R programming and Quanteda.

Issue analysis of the admission officer system using topic analysis (토픽 분석을 이용한 학생부종합전형의 쟁점 분석)

  • Hong, Younghee
    • The Korean Journal of Applied Statistics
    • /
    • v.32 no.3
    • /
    • pp.423-434
    • /
    • 2019
  • An important issues in Korea society in 2018 was the revision of the university entrance examination system. Among the discussions, in order to grasp what the issue of admission officer system is, attention was focused on the function of media such as monitoring and criticism as well as the tried topic analysis of related news articles. As a result, the reorganization of the College Scholastic Ability Test (CSAT) was derived and showed the sensitivity of Korean society towards the CSAT. Topics directly related to the admission officer system were the selection factor and fairness of the university entrance examination system in relation to the selection factor.

A Study on Examination of Health Inequality among Dying Alone Cases (고독사와 건강불평등에 대한 탐색적 연구)

  • Kim, Hae Sung
    • The Journal of the Convergence on Culture Technology
    • /
    • v.5 no.1
    • /
    • pp.311-318
    • /
    • 2019
  • Dying alone is an emerging social problem in South Korea. It is reported that most cases of dying alone showed various and chronic health problems. Despite of this situation, there existed neither medical support nor welfare services when dying. It indicated severe health inequality problems. With this background, the purpose of this study was to examine health inequality issue among dying alone cases by using news paper articles during the past three years(2016-2018). Content analysis was employed for 89 dying alone cases. Characteristics of dying alone cases, types of illness and health problems, and unmet medical services were analyzed. Based on the findings, future directions were addressed.

An Analysis of Flood Vulnerability by Administrative Region through Big Data Analysis (빅데이터 분석을 통한 행정구역별 홍수 취약성 분석)

  • Yu, Yeong UK;Seong, Yeon Jeong;Park, Tae Gyeong;Jung, Young Hun
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2021.06a
    • /
    • pp.193-193
    • /
    • 2021
  • 전 세계적으로 기후변화가 지속되면서 그에 따른 자연재난의 강도와 발생 빈도가 증가하고 있다. 자연재난의 발생 유형 중 집중호우와 태풍으로 인한 수문학적 재난이 대부분을 차지하고 있으며, 홍수피해는 지역적 수문학적 특성에 따라 피해의 규모와 범위가 달라지는 경향을 보인다. 이러한 이질적인 피해를 관리하기 위해서는 많은 홍수피해 정보를 수집하는 것이 필연적이다. 정보화 시대인 요즘 방대한 양의 데이터가 발생하면서 '빅데이터', '머신러닝', '인공지능'과 같은 말들이 다양한 분야에서 주목을 받고 있다. 홍수피해 정보에 대해서도 과거 국가에서 발간하는 정보외에 인터넷에는 뉴스기사나 SNS 등 미디어를 통하여 수많은 정보들이 생성되고 있다. 이러한 방대한 규모의 데이터는 미래 경쟁력의 우위를 좌우하는 중요한 자원이 될 것이며, 홍수대비책으로 활용될 소중한 정보가 될 수 있다. 본 연구는 인터넷기반으로 한 홍수피해 현상 조사를 통해 홍수피해 규모에 따라 발생하는 홍수피해 현상을 파악하고자 하였다. 이를 위해 과거에 발생한 홍수피해 사례를 조사하여 강우량, 홍수피해 현상 등 홍수피해 관련 정보를 조사하였다. 홍수피해 현상은 뉴스기사나 보고서 등 미디어 정보를 활용하여 수집하였으며, 수집된 비정형 형태의 텍스트 데이터를 '텍스트 마이닝(Text Mining)' 기법을 이용하여 데이터를 정형화 및 주요 홍수피해 현상 키워드를 추출하여 데이터를 수치화하여 표현하였다.

  • PDF

Analysis of Subject Category on Artificial Intelligence Discourse in Newspaper Articles (신문기사에 나타난 인공지능 담론에 대한 주제범주 분석)

  • Lee, Soo-Sang
    • Journal of Korean Library and Information Science Society
    • /
    • v.48 no.4
    • /
    • pp.21-47
    • /
    • 2017
  • This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.

Discovering the Knowledge Structure of Graphene Technology by Text Mining National R&D Projects and Newspapers (국가R&D과제와 신문에서 텍스트마이닝을 통한 그래핀 기술의 지식구조 탐색)

  • Lee, Ji-Yeon;Na, Hye-In;Lee, Byeong-Hee;Kim, Tae-Hyun
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.2
    • /
    • pp.85-99
    • /
    • 2021
  • Graphene, called the "dream material" is drawing attention as a groundbreaking new material that will lead the era of the 4th Industrial Revolution. Graphene has high strength, excellent electrical and thermal conductivity, excellent optical permeability, and excellent gas barrier properties. In this paper, as the South Korean government recently announced Green New Deal and Digital New Deal policy, we analyze graphene technology, which is also attracting attention for its application to Corona 19 biosensor, to understand its national R&D trend and knowledge structure, and to explore the possibility of its application. Firstly, 4,054 cases of national R&D project information for the last 10 years are collected from the National Science & Technology Information Service(NTIS) to analyze the trend of graphene-related R&D. Besides, projects classified as green technology are analyzed concerning the government's Green New Deal policy. Secondly, text mining analysis is conducted by collecting 500 recent graphene-related articles from e-newspapers. According to the analysis, the field with the largest number of projects was found to be high-efficiency secondary battery technology, and the proportion of total research funds was also the highest. It is expected that South Korea will lead the development of graphene technology in the future to become a world leader in diverse industries including electric vehicles, cellular phone batteries, next-generation semiconductors, 5G, and biosensors.

A Comparative Study on Online Civic Journalism Practice and Civic Influence in the U.S. and Korea - Focus on News about the 'Oil Price' (온라인 시민저널리즘 양상과 시민 영향력에 관한 한.미 간 비교 연구 - '유가' 관련 보도를 중심으로)

  • Yang, Min-Je;Kim, Min-Ha
    • Korean journal of communication and information
    • /
    • v.45
    • /
    • pp.463-495
    • /
    • 2009
  • Korea has started to pay attention to civic journalism in recent years while it initially emerged in the United State since late 1980s. Furthermore, albeit some discernable limitations, the Internet has played an important role in fertilizing civic journalism as indicated by the emergence of online news media and the increasing number of civic journalists engaged in the online activities. Whereas there are some patterns of civic journalism practice and the civic influence commonly observed in both countries, there are significant factors that distinguish th1e case of Korea from that of the U.S. The purpose of this study is to compare the two countries in terms of the patterns of civic journalism practice and civic influence. This goal has been achieved by analyzing ‘CNN iReport’ in the U.S. and ‘Ohmynews’ in Korea, both of which are prime civic journalism websites. Those websites have been compared in light of four standards of civic journalism: first, the degree of post-objectivism; second, the search for effective resolutions of social problems; third, civic engagement in the news making process to enhance bottom-up agenda setting; and finally, citizens’ interaction with the news. The results reveal that the American civic journalism website is more likely to shed light on deviating from the principle of objectivity and seeking alternatives and resolutions of social problems. Moreover, it effectively utilizes civic engagement in the news Abstracts 551 making process as indicated by the higher numbers of civic journalists and civic news resources. Also, readers’ interaction with the news was found to be more active in the iReport website than in the Ohmynews.

  • PDF