• Title/Summary/Keyword: 정보포털

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A Filtering Method of Malicious Comments Through Morpheme Analysis (형태소 분석을 통한 악성 댓글 필터링 방안)

  • Ha, Yeram;Cheon, Junseok;Wang, Inseo;Park, Minuk;Woo, Gyun
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.750-761
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    • 2021
  • Even though the replying comments on Internet articles have positive effects on discussions and communications, the malicious comments are still the source of problems even driving people to death. Automatic detection of malicious comments is important in this respect. However, the current filtering method of the malicious comments, based on forbidden words, is not so effective, especially for the replying comments written in Korean. This paper proposes a new filtering approach based on morpheme analysis, identifying coarse and polite morphemes. Based on these two groups of morphemes, the soundness of comments can be calculated. Further, this paper proposes various impact measures for comments, based on the soundness. According to the experiments on malicious comments, one of the impact measures is effective for detecting malicious comments. Comparing our method with the clean-bot of a portal site, the recall is enhanced by 37.93% point and F-measure is also enhanced up to 47.66 points. According to this result, it is highly expected that the new filtering method based on morpheme analysis can be a promising alternative to those based on forbidden words.

The Effect of Youth (18-19 years old) Voters' Use of Political Information and Political Efficacy on Voting Intentions (청소년(만 18-19세) 유권자의 정치 정보 이용행태와 정치효능감이 투표 의도에 미치는 영향)

  • Lee, Sung-Jin;Kim, Peter Eung-Pyo
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.344-355
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    • 2021
  • As the voting age has been lowered to 18 from the 21st general election on April 15, 2020, the use of political news, motivation for political interest, and reliability of political media of first-time voters were examined. Accordingly, we analyzed how their political efficacy affects their voting intentions. As a result of the study through the survey of participants, the use of political news by voters was to acquire political information mainly through TV and portals. And the use of traditional media such as radio and newspaper was low. first voters became interested in politics through articles delivered by the media, and it was found that they trusted the political information provided through terrestrial TV reports and debates. This generation also confirmed that if they have higher political efficacy, they show higher willingness to participate in voting. Through this study, in order to increase the political participation of the younger generation who are evaluated as having relatively low interest in politics, the role of the media was reconfirmed as the most important factor.

A Study on the Operation Plans for Seongnam Public Library Programs in the Post-COVID-19 Era (포스트 코로나 시대 성남시 도서관의 문화프로그램 운영 방안 연구)

  • Song, Min Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.177-186
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    • 2022
  • The purpose of this study is to suggest operation plans for library programs in preparation for the post-COVID-19 by analyzing the current status of library programs before and after the outbreak of COVID-19 based on the data of the Seongnam public libraries on the Public Data Portal. So, based on 1,317 data collected through the data purification process for duplicates and errors in the files uploaded by Seongnam City, ①programs' subject & type, ②program target users, ③program operation types(online or offline), ④program operating time & number of days, ⑤characteristics of programs preferred by users etc. were analyzed. As results of the analysis, online programs were not operated at all before COVID-19, but online programs started to be operated in earnest after August 2020. Also, there were many experiential activity lectures for infants and elementary school students in 2019, but reading activity lectures for adults and elementary school students increased in 2020. There were many types of online lectures, such as real-time lectures using online video conferencing programs, YouTube video viewing & live broadcasting, and the use of Naver Band & Cafe.

Regional Image Change Analysis using Text Mining and Network Analysis (텍스트 마이닝과 네트워크 분석을 이용한 지역 이미지 변화 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.2
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    • pp.79-88
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    • 2022
  • Social media big data includes a lot of information that can identify not only consumer consumption patterns but also local images. This paper was collected annually data including 'Samcheok' from 2015 to 2019 from Blog and Cafe of Naver and Daum in domestic portal site, and analyzed the regional image change after refining keyword which forms the regional image by performing text mining and network analysis. According to the research results, the regional image of 2015 was expressed with image cognitive elements of the nearby place name or place etc. such as 'Jangho Port', 'Donghae', and 'Beach'. However the regional image both 2016 and 2019 were changed with image cognitive elements of 'SamcheokSolbich' which is a special place within region. Therefore as the keywords related to the local image include 'Jangho Port' and Resort, which are the representative attractions of Samcheok, it can be seen that the infrastructure factor plays a big role in forming the local image. The significance test for the network data used the bootstrap technique, and the p-values in 2015, 2016, and 2019 were 0.0002, 0.0006, and 0.0002, respectively, which were found to be statistically significant at the significance level of 5%.

The Impacts of AI-enabled Search Services on Local Economy (AI 기반 장소 검색 서비스가 지역 경제에 미치는 영향에 대한 실증 연구)

  • Heejin Joo;Jeongmin Kim;Jeemahn Shin;Keongtae Kim;Gunwoong Lee
    • Information Systems Review
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    • v.23 no.3
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    • pp.77-96
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    • 2021
  • This research investigates the pivotal role of AI-enabled technologies in vitalizing the local economy. Collaborating with a leading search engine company, we examine the direct and indirect of an AI-based location search service on the success of sampled 7,035 local restaurants in Gangnam area in Seoul. We find that increased use of AI-enabled search and recommendation services significantly improved the selections of previously less-discovered or less-popular restaurants by users, and it also enhanced the stores' overall conversion rates. The main research findings have contributions to extant literature in theorizing the value of AI applications in local economy and have managerial implications for search businesses and local stores by recommending strategic use of AI applications in their businesses that are effective in highly competitive markets.

A Study on the Energy Platform to Reduce Carbon Emissions (탄소배출 저감을 위한 에너지 플랫폼 연구)

  • Beom-seok Cha;Hyung-Jin Moon;Woojin Wi;Gab-Sang Ryu
    • Journal of Internet of Things and Convergence
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    • v.10 no.2
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    • pp.43-50
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    • 2024
  • This manuscript proposes an artificial intelligence-based(AI) energy platform system that efficiently use existing energy than creating new energy than creating new energy sources. To this end, it collects public information data portal and statistics data portal and data emissions, including energy usage and greenhouse gas emissions, including energy consumption and greenhouse gas emissions.In addition, it provides strong security and personal information protection functions to overcome the limit of existing energy platform. Through the built energy platform, improving power supply and user convenience of users and users to contribute to global warming issues.In this paper, the contents to implement the contents of the system, and improvement direction from the future completion and improvement direction.

A study on the recognition of medical institution workers and the development of the certification system after electronic medical record certification (전자의무기록 인증 후 의료기관 종사자 인식과 인증제 발전을 위한 연구)

  • Cho-Yeal Park
    • Journal of the Health Care and Life Science
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    • v.11 no.2
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    • pp.173-180
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    • 2023
  • In this study, senior general hospital, general hospital medical institutions certified by the Electronic Medical Record System Management Portal in 2021 were surveyed on the recognition of changes in medical information management and EMR system functionality. Through verification, it was implemented to promote future development of the certification system and long-term development of the electronic mandatory record certification system. A total of 1,189 respondents were used for final analysis using structured questionnaires, and in particular, differences in recognition of certification systems and system functionality after EMR certification were verified by conducting average analysis and ANOVA. As a result of analysis, the electronic mandatory record certification system was confirmed to affect positive work changes and perceptions on medical institution workers, and after certification of the electronic mandatory record system, it showed operational effects in many ways. Based on the results of this study in the future, communication follow-up research is needed.

A Big Data Analysis to Prevent Elderly Solitary Deaths by High-risk Area Clusterization (노인 고독사 방지를 위한 빅데이터 기반 고독사 고위험 지역 탐지 연구)

  • Soyon Kim;Soo Hyung Kim;Bong Gyou Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.5
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    • pp.177-182
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    • 2024
  • This study proposes a big data-based analytical method to detect high-risk areas for solitary deaths among the elderly in Seoul. The study categorizes and analyzes the risk factors of solitary deaths into demographic, health, economic, and socio-environmental factors. Using data collected from the Seoul Open Data Plaza and Public Data Portal, variables were generated and scatter plots were created using K-means clustering, followed by visual implementation through map creation. The analysis identified Jungnang-gu, Gangbuk-gu, Nowon-gu, Eunpyeong-gu, Gangseo-gu, and Gwanak-gu as the highest-risk areas. This study addresses the limitations of previous survey-based research through big data analysis. The findings are expected to enhance the efficiency of solitary death prevention programs and serve as a basis for informed decision-making in budget allocation across districts.

A Study on the Consumer-focused Quality Factor of Health Information Websites (건강정보 웹사이트의 소비자 중심 품질요인에 대한 연구)

  • Shin, Hyun-San;Kim, Peong-Joong
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.7
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    • pp.129-138
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    • 2012
  • Despite of increasing pressure of opening to free for medical market by an advanced nation and increasing number of portal websites for health information, there have been few studies on the issues of enhancing the service quality of health information websites. The survey exhibited that the quality factors mainly affect significant and satisfied level of health information websites were usability, information structure and contents, interaction, and revisiting. This study was conducted to develop the consumer-focused quality factor of health information websites using WebQual model which was valued at efficient evaluation tool for this information system The methods taken in this research was to survey quality factors for significant and satisfied level of 323 consumers live in Chungcheong-do which is based on 48 questionnaires of WebQual quality factors. Our research extracted quality factors, usability, information quality (information structure and contents), interaction (personalisation and privacy) about view of criticality and satisfaction and relevant degree of revisiting. The research results presented in the paper will provide an efficient way of installing healthcare websites, moreover stone toward a marketing strategy for the consumer focus website provides under fierce competition.

A Study on Information Users' Needs and Information Seeking Behavior of Doctoral Researchers in Digital Age (디지털 환경에서 학술연구자들의 정보요구 및 이용행태에 관한 연구 - 인문사회분야와 과학기술분야의 비교를 중심으로 -)

  • Kim, Jeong-Hwan;Kim, Jay-Hoon;Hwang, Jae-Young
    • Journal of Korean Library and Information Science Society
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    • v.42 no.3
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    • pp.189-208
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    • 2011
  • In the digital environment where the Internet and IT change rapidly, researchers have utilized scientific information by relying on more complex and various media than before. This study performed a group interview with thirteen questions derived from five categories in order to understand information needs and information seeking behaviors of Korean doctoral researchers in this information environment. The five categories are (1) identifying information resource usage pattern, (2) attitude towards information resources and reasons for use, (3) IT skills and information literacy, (4) physical library use vs electronic access, and (5) attitudes toward the digital library. In particular, this study focused on analyzing similarities and differences of two groups of researchers selected equally in the humanities and social sciences and in science and technology by doing the interview. The research showed that there are no differences in the goal of using scientific information, information literacy, the ratio of using written materials to electronic resources, and routes of acquiring research ideas or knowledge, but there are differences in materials used for studies or researches and in favorite scientific portal sites.