• Title/Summary/Keyword: 기사분석

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Visualizer of Associated Word by Analyzing News Articles (신문 기사 분석을 통한 연관어 비주얼라이저)

  • Kim, Hyun-Jin;Moon, Sung-Young;Jeong, Yong-Gi;Lee, Jeong-Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1189-1192
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    • 2013
  • 신문기사 분석을 통한 연관어 비주얼라이저는 신문 기사의 단어를 추출하여 단어 간 연관도를 분석하여 다양한 그래프로 표현하는 시스템이다. 인터넷 신문사의 뉴스 기사들을 수집하고 형태소 분석을 통해 기사별로 단어의 출현 횟수를 데이터베이스에 저장하고 단어와 단어 간의 연관성을 분석한다. 단어 간 연관성을 측정하기 위한 기준으로 두 단어 간 동일기사에 존재여부, 동일날짜에 존재여부를 이용한다. 이 값을 바탕으로 웹 페이지 상에서 다양한 그래프로 상위 연관성을 가진 단어들을 표현한다. 표현 되는 그래프는 다양한 형태의 그래프로 단어와 단어사이에 연관성을 보다 쉽게 파악 할 수 있다.

Analysis of the Types of News Stories on the Online Broadcast -Focusing upon the Broadcasting Websites of NAVER Newsstand- (온라인 방송의 뉴스기사 유형에 대한 분석 -네이버 뉴스스탠드의 방송사 홈페이지를 중심으로-)

  • Park, Kwang Soon
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.177-185
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    • 2021
  • This paper aimed to grasp what the percentage in the types of news stories on the online broadcast is, which was conducted by analyzing the news stories of 9 broadcasting websites on the Naver newsstand. For the analysis, a total of 270 days' samples were selected, including 30 days per broadcast on 9 broadcasting websites. For a method of analysis, One-way ANOVA was used to examine the difference among broadcasting websites. The analysis was made centering with priorities given to the type of news stories by the composition of language, the type of genre as a standard of stories, and so on. As a result of analysis, all the programs in the off-line broadcast have been produced and transmitted as a video-typed story, but a half of those in on-line broadcast have been made up of the stories composed of photo and text. The online newspaper has been producing a new type of news' story using video-typed story or computer graphic while the online broadcast has actively been utilizing stories composed of photos and text, which are types of newspaper's stories. From above-mentioned results, it can be understood that the boundary among media is getting more and more indistinct on the environment of online media, showing the phenomenon that the type of broadcast's stories is becoming old-fashioned.

Analysis on the Hyperlink of News Articles on the Internet Media : Focusing upon the Naver, Daum, Yahoo Site (인터넷 미디어 뉴스기사 본문의 하이퍼링크에 대한 분석 -네이버, 다음, 야후를 중심으로-)

  • Park, Kwang-Soon
    • The Journal of the Korea Contents Association
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    • v.10 no.11
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    • pp.329-340
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    • 2010
  • This paper aims to analyze the hyperlink between the portal sites and the press dot coms news and to grasp the features of news service on the online journalism. As a result of the analysis, the portal sites, in the number of news articles which the hyperlink service had been provided, were more than the press dot coms. But in the number of the hyperlinks in the news story which hyperlink service had been provided, the press dot coms were more than the portal sites. The contents that were hyperlinked to the news stories of online journalism were composed of a informative type and an advertising one. All contents that were hyperlinked to the news stories on portal site were informative. On the other hand, about 92% of the contents that were hyperlinked to the news stories on the press web sites were advertising. By means of this analysis, the features of news service on the online journalism could be grasped.

N3WS : Interactive Newspaper Article Navigation Using Keyword and Summary Extraction (N3WS : 키워드 및 요약문장 추출을 이용한 인터랙티브 신문기사 탐색)

  • Cho, Hee-Jeong;Son, Ji-Youn;Yoon, Byeol-Yi;Cho, A-Hyun;Kim, Myung;Park, Eun-Jeong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.694-697
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    • 2017
  • 최근 인터넷 기사 중에는 부정확한 제목이나 자극적인 단어를 사용하는 경우가 많아 구독자에게 불편함을 준다. 본 논문에서는 이러한 기사들의 헤드라인을 삭제하고, 기사의 내용을 3문장으로 요약해 주어, 구독자가 원하는 기사를 효율적으로 파악할 수 있게 하는 시스템을 제안한다. 제안하는 본 시스템은 파이썬 언어의 KoNLPy 패키지를 사용하여 기사의 단어들을 형태소 단위로 분석하며, 추출된 키워드를 토대로 워드 클라우드를 생성한다. 사용자가 클라우드의 특정 단어를 선택하면, 해당 신문기사들의 본문을 분석하여 각 신문 기사만의 핵심적인 문장을 3문장으로 출력해 준다.

An Analysis of the Social Image of Library: Focused on the Analysis of Newspaper Articles (도서관에 대한 사회적 이미지 분석 연구 - 신문기사분석을 중심으로 -)

  • Kim, Ji-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.49 no.4
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    • pp.219-236
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    • 2018
  • This study investigated the image of library in our society by analyzing newspaper articles related to libraries. A total of 3065 newspaper articles reported in Kyunghyang, Hankyoreh, Chosun, and Joongang from 2000 to 2017 were analyzed using time series analysis. The results of the time series analysis showed the number of newspaper articles related to library declined to a peak in 2009. Also, there were differences in the content of newspaper articles by year except for those content related to books. There were many articles about 'information' and 'use' in early 2000, about 'library operation and opening', 'culture' from 2006, and about 'residents of the area', 'culture' after 2012. These content of newspaper articles may reflects the image of library in our society. Finally, this study dis cussed practical ways of public library promotion.

Identifying Seoul city issues based on topic modeling of news article (토픽 모델링 기반 뉴스기사 분석을 통한 서울시 이슈 도출)

  • Kwon, Min-Ji
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.11a
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    • pp.11-13
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    • 2019
  • 대중들에게 정보를 빠르고 정확하게 제공하는 대표 매체인 뉴스 기사는 일 평균 1만 5천 건 이상이 보도되고 있다. 특정 주제 또는 분야에 대한 전반적인 동향을 파악하고자 대량의 텍스트 데이터를 수집하여 텍스트 마이닝(Text mining)과 머신러닝 등을 적용하는 연구들이 활발하게 수행되고 있다. 본 연구에서는 서울시의 이슈 및 문제를 파악하고자 약 5년간 뉴스 기사를 수집하여 키워드 분석 및 토픽 모델링을 적용하였다. 분석 결과 5년간의 뉴스 기사에서 빈번하게 출현하는 키워드들을 도출하였고 연도별로 도출된 키워드들을 비교분석하였다. 또한 토픽 모델링 적용 결과 뉴스 기사를 구성하는 20개의 주제를 도출하였으며 이를 기반으로 서울시의 주요 이슈들을 파악할 수 있다. 본 연구는 연도별, 분야별 세부 내용 및 시계열 분석, 다른 도시들의 이슈 및 문제를 도출하는데 활용될 것으로 기대된다.

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Design and Implementation of Personalized News Recommendation System Considering User Reading Habit under Smartphone Environment (스마트폰 환경에서 기사 읽기 습관 고려한 뉴스 추천 시스템 설계 및 구현)

  • Song, Teuk-Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1628-1633
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    • 2014
  • In this paper, we propose a news article recommendation system that reflects users' areas of interest and reading habits. Users can select interesting subject then our proposed system displays interesting articles above the other articles. Also the proposed system reflects users' dynamic interests using analyse of user's reading habits. The method of dynamic interest applies the different weight values from users simply clicking and reading entire articles. When users read articles from specific areas, the prosed system increases the weight of these specific areas using XML structure information. Hence users can read their articles of interest with ease.

A Study on the Sentence Length of Sports News in the Era of the Convergency (융복합 시대에서 스포츠기사의 문장길이에 관한 연구)

  • Yoo, Byong Cher;Lee, Jong Young
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.505-511
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    • 2017
  • The purpose of this study is to identify the characteristic of the length of sentence of sports news articles compared with other sections, other newspaper and sports events. In order to achieve this purpose, 4 daily newspapers(Chosun Ilbo, Dong-A Ilbo, Kyunghyang Shinmun and MKsports) were selected as research sources. The length of sentence of collected articles was analyzed by One way ANOVA and Scheffe as post-hoc. The results of these analyses are summarized into three as follows: First, the length of sentence of news articles has significant difference by sections. To put it concretely, the sentences in politics section were the longest, and then economy, editorials comes. The sports section has the shortest sentences. Second, the length of sports articles has significant difference by newspapers. In particular, MK sports which is a sports-oriented newspaper has the shortest in the length of sentence of sports articles than other newspapers such as Chosun, Dong-A and Kyunghyang. Third, the length of sentence of sports articles has significant differences by the sports events. More specifically golf is the longest, and then basketball, soccer and baseball follows.

Analysis of Image of Nurses on Articles in Korean Daily Newspapers after Corona Pandemic (코로나 팬데믹 이후 국내 일간지 기사에 나타난 간호사 이미지 분석)

  • An, Jisook
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.66-74
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    • 2021
  • This study was conducted to identify the trends in newspaper articles related to nurses reported after the COVID-19 pandemic, and analyze the image of nurses in newspaper articles. The target of analysis is 199 articles related to nurses reported in four major domestic newspapers for 10 months from January 2020 to October 2020, when the domestic COVID-19 pandemic in full swing. As a result of the analysis, compared to the past, the volume of reports of articles related to nurses increased, and there were many articles on the topic of nurses being treated poorly compared to work, having a sense of vocation and caring for patients. There were many reports of articles that were favorable or neutral, and most of them were reporters, but few were written by professional reporters or medical personnel including nurses. Unlike previous studies, the proportion of nurses in nurse-related articles was often treated as the main character. Both the nursing and the media should make systematic and continuous efforts to ensure that accurate descriptions of the various roles and activities of nurses appear in the newspaper.

Dynamics in Election News Making: An Exploratory Study (선거보도의 역동성에 대한 탐색적 연구)

  • Lee, Han Soo
    • Korean Journal of Legislative Studies
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    • v.27 no.3
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    • pp.155-188
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    • 2021
  • This study examines dynamics in election news making. It is important to understand when and how news media produce election news in order to grasp news making and voting behavior. The news media sometimes make election news by focusing on issues and policies. Often they frame elections as a game and focus on election strategies while covering elections. This article argues that as time goes by during the election period, the number of policy news tends to decrease while the frequency of strategic news is likely to increase. Also, TV's and newspapers show distinctive patterns of election news making. In order to examine the arguments, this study categorizes election news stories into policy and strategic news stories produced during the 2020 Korean congressional elections and constructs daily time-series data of them. The results of structural break and regression analyses partially support the arguments.