• Title/Summary/Keyword: 커뮤니티 추출

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Design of Academy Management System Based on B2M Process (B2M 프로세스 기반의 학원관리 시스템 설계)

  • Kim, Young A;Lee, Kun Woo;Kim, Eui Ryong;Kim, Young Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.5
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    • pp.41-46
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    • 2021
  • Due to the development of private education and changes in the educational environment, the need for an academy management system is emerging for various tasks of academy management in the community and mobile environment with students. However, solutions developed for existing academy tasks, such as attendance management for students, announcement, and instructor management to sponsors, are specialized and specialized in large academy, making it difficult to use in small and medium-sized academy. Also, there are problems that are not suitable for most academy and cannot reflect various requirements of institutes because of the high cost. In order to solve these problems, this paper designed a B2M-based academy management system that can quickly improve information processing, improve credibility, and reduce the cost of processing tasks based on optimized functions such as academic administration and manager management, attendance management, and student management.

An analysis study on the quality of article to improve the performance of hate comments discrimination (악성댓글 판별의 성능 향상을 위한 품사 자질에 대한 분석 연구)

  • Kim, Hyoung Ju;Min, Moon Jong;Kim, Pan Koo
    • Smart Media Journal
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    • v.10 no.4
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    • pp.71-79
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    • 2021
  • One of the social aspects that changes as the use of the Internet becomes widespread is communication in online space. In the past, only one-on-one conversations were possible remotely, except when they were physically in the same space, but nowadays, technology has been developed to enable communication with a large number of people remotely through bulletin boards, communities, and social network services. Due to the development of such information and communication networks, life becomes more convenient, and at the same time, the damage caused by rapid information exchange is also constantly increasing. Recently, cyber crimes such as sending sexual messages or personal attacks to certain people with recognition on the Internet, such as not only entertainers but also influencers, have occurred, and some of those exposed to these cybercrime have committed suicide. In this paper, in order to reduce the damage caused by malicious comments, research a method for improving the performance of discriminate malicious comments through feature extraction based on parts-of-speech.

Question and Answering System through Search Result Summarization of Q&A Documents (Q&A 문서의 검색 결과 요약을 활용한 질의응답 시스템)

  • Yoo, Dong Hyun;Lee, Hyun Ah
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.4
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    • pp.149-154
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    • 2014
  • A user should pick up relevant answers by himself from various search results when using user participation question answering community like Knowledge-iN. If refined answers are automatically provided, usability of question answering community must be improved. This paper divides questions in Q&A documents into 4 types(word, list, graph and text), then proposes summarizing methods for each question type using document statistics. Summarized answers for word, list and text type are obtained by question clustering and calculating scores for words using frequency, proximity and confidence of answers. Answers for graph type is shown by extracting user opinion from answers.

Trends in Social Media Participation and Change in ssues with Meta Analysis Using Network Analysis and Clustering Technique (소셜 미디어 참여에 관한 연구 동향과 쟁점의 변화: 네트워크 분석과 클러스터링 기법을 활용한 메타 분석을 중심으로)

  • Shin, Hyun-Bo;Seon, Hyung-Ju;Lee, Zoon-Ky
    • The Journal of Bigdata
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    • v.4 no.1
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    • pp.99-118
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    • 2019
  • This study used network analysis and clustering techniques to analyze studies on social media participation. As a result of the main path analysis, 37 major studies were extracted and divided into two networks: community-related networks and new media-related. Network analysis and clustering result in four clusters. This study has the academic significance of using academic data to grasp research trends at a macro level and using network analysis and machine learning as a methodology.

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Technology Mining and Sentiment Analysis on Hydrogen Fuel Cell Using National R&D and Social Data (국가R&D와 소셜 데이터를 활용한 수소연료전지 기술마이닝과 감성분석)

  • Lee, Byeong-Hee;Choi, Jung-Woo;Kim, Tae-Hyun
    • Annual Conference of KIPS
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    • 2022.11a
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    • pp.341-343
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    • 2022
  • 온실가스 배출 문제가 세계적인 현안으로 부각되면서 수소를 에너지원으로 사용하는 수소경제가 주목받고 있다. 수소연료전지는 수소경제의 구성요소 중 하나로, 수소를 활용해 열과 전기를 생산하며 에너지 변환 효율이 높이는데 장점이 있다. 본 연구는 세계적인 온라인 커뮤니티인 레딧(Reddit)에서 수집한 수소연료전지와 관련된 소셜 데이터를 텍스트마이닝과 감성분석 기법으로 분석하였다. 분석 결과 9,211건의 댓글을 LDA(Latent Dirichlet Allocation)을 이용해 4개의 토픽 그룹으로 분류할 수 있었다. 이 중 수소연료전지와 관련이 높은 그룹을 선정해 STM(Structural Topic Model) 분석으로 10개 토픽을 추출하였고, 기후 환경, 수소 산업, 수소 차와 관련 있는 토픽 3개를 발견할 수 있었다. 이 연구 결과를 통해 수소연료전지의 세계적으로 실제적인 내용을 빠르고 효과적으로 파악하여 수소연료전지에 대한 예측하고, 우리나라의 수소연료전지 관련 국가R&D의 정책적 방향을 제시하고자 한다.

Extraction of Author Identification Elements of Overseas Academic Papers on Authority Data System for Science and Technology (과학기술 전거데이터 시스템에서의 해외 학술논문 저자 식별요소 추출)

  • Choi, Hyunmi;Lee, Seokhyoung;Kim, Kwangyoung;Kim, Hwanmin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.711-713
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    • 2013
  • Various human resource information of the world can be found according to spread of social network such as facebook and twitter. There are an amounts of researcher information on the science and technology area but it is difficult to find a suitable researcher for research or business such as research partner, because researcher information is not systematically arranged. To solver this problem, we are constructing authority data system for science and technology based on authority information of overseas academic papers. In this paper, in order to construct the authority data, we extracts author identification elements from millions of overseas academic papers, which are published from 1994 to 2012. There are more than 50 author identification elements such as author name, affiliation, paper title, publisher, year, keywords, co-author, co-author's affiliation in Korean, English, Chinese, and Japanese. We construct the element database by extracting and storing an author identification information based on the elements from overseas academic papers. Future works includes that the authority database for overseas academic papers is constructed by storing an academic activities of researchers after author clustering with these extracted elements. The authority data is used to improve the researcher information utilization and activate community to find a suitable research partner or a business examiner.

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Building Hierarchical Knowledge Base of Research Interests and Learning Topics for Social Computing Support (소셜 컴퓨팅을 위한 연구·학습 주제의 계층적 지식기반 구축)

  • Kim, Seonho;Kim, Kang-Hoe;Yeo, Woondong
    • The Journal of the Korea Contents Association
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    • v.12 no.12
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    • pp.489-498
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    • 2012
  • This paper consists of two parts: In the first part, we describe our work to build hierarchical knowledge base of digital library patron's research interests and learning topics in various scholarly areas through analyzing well classified Electronic Theses and Dissertations (ETDs) of NDLTD Union catalog. Journal articles from ACM Transactions and conference web sites of computing areas also are added in the analysis to specialize computing fields. This hierarchical knowledge base would be a useful tool for many social computing and information service applications, such as personalization, recommender system, text mining, technology opportunity mining, information visualization, and so on. In the second part, we compare four grouping algorithms to select best one for our data mining researches by testing each one with the hierarchical knowledge base we described in the first part. From these two studies, we intent to show traditional verification methods for social community miming researches, based on interviewing and answering questionnaires, which are expensive, slow, and privacy threatening, can be replaced with systematic, consistent, fast, and privacy protecting methods by using our suggested hierarchical knowledge base.

The effects of economy education through MMORPG (온라인 게임을 통한 아동 경제 학습 효과 분석)

  • Wi, John-H.;Oh, Na-Ra;Kim, Yang-Eun
    • Journal of Korea Game Society
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    • v.5 no.4
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    • pp.13-22
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    • 2005
  • The research is a study on the effects of MMORPG (Massively Multi-player Online Role Playing Game) utilized in educational program. We investigated the possibilities of online game as an educational tool, especially in the field of economy education. Students have been taught market, price, profit, scarcity of goods etc., and then they played an online game we provided. Students manufactured cyber goods and also sold or bought various materials to maximize their profits. A experimental group was compared with a control group on measures of economic self-efficacy, motivation for economic learning, and attitude for economic learning, economic self-efficacy and motivation for economic leaning scales consist of 2 factors and attitude for economic leaning consists of 1 factor. Participants were 5th grade elementary school students(experimental group: 154, control group: 158). After the experiment, students' self-efficacy and motivations for economy learning have increased significantly. It has been found that students understand more easily the difficult economic terms such as' inflation', 'price setting', 'scarcity of goods etc. Their motivations for economy learning also increased significantly. This result indicates that online games have the potentiality that can be utilized as an educational tool.

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A Study on Phatic Communication of Korean Community in Residential Life Space (한국적 집단공동체 주거생활공간에서의 친교적 커뮤니케이션 활동고찰)

  • Kim, Man-Ki
    • Journal of Digital Convergence
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    • v.8 no.2
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    • pp.69-87
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    • 2010
  • This research is to investigate phatic communication by puting the purpose in maintaining and strengthening social relationship among people in groups in Korean residential community space. Phatic communication is the activity for friendship, expressing and sharing the tastes, expectations, and common features of residents by inducing the participation of residents in all sorts of events, meetings, and activities in residential space. Through this pathic activity, the range of communication age, the time of communication, the selection of location, and the topic of communication discourse are examined. The investigation methods of this research were taken two ways: First, it carried out the observation of participation and in-depth interview by the participation of researcher in a way of life as a member. In order to prove more objectively, it enhances the reliability of data by adding the questionnaire survey through the convenience sampling of 150 residents of three communities. Moreover, $x^2$; chi-square test was conducted in order to verify the difference in heterogeneous groups. Accordingly, this research will bring about the great development in cultural studies by exploring a way of Korean life, based on the communication of Korea community in residential life space, which can unify the community through sharing the meaning, interacting and delivering the message.

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Comparing the 2015 with the 2022 Revised Primary Science Curriculum Based on Network Analysis (2015 및 2022 개정 초등학교 과학과 교육과정에 대한 비교 - 네트워크 분석을 중심으로 -)

  • Jho, Hunkoog
    • Journal of Korean Elementary Science Education
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    • v.42 no.1
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    • pp.178-193
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    • 2023
  • The aim of this study was to investigate differences in the achievement standards from the 2015 to the 2022 revised national science curriculum and to present the implications for science teaching under the revised curriculum. Achievement standards relevant to primary science education were therefore extracted from the national curriculum documents; conceptual domains in the two curricula were analyzed for differences; various kinds of centrality were computed; and the Louvain algorithm was used to identify clusters. These methods revealed that, in the revised compared with the preceding curriculum, the total number of nodes and links had increased, while the number of achievement standards had decreased by 10 percent. In the revised curriculum, keywords relevant to procedural skills and behavior received more emphasis and were connected to collaborative learning and digital literacy. Observation, survey, and explanation remained important, but varied in application across the fields of science. Clustering revealed that the number of categories in each field of science remained mostly unchanged in the revised compared with the previous curriculum, but that each category highlighted different skills or behaviors. Based on those findings, some implications for science instruction in the classroom are discussed.