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A Study on Social Media Sentiment Analysis for Exploring Public Opinions Related to Education Policies (교육정책관련 여론탐색을 위한 소셜미디어 감정분석 연구)

  • Chung, Jin-Myeong;Yoo, Ki-Young;Koo, Chan-Dong
    • Informatization Policy
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    • v.24 no.4
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    • pp.3-16
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    • 2017
  • With the development of social media services in the era of Web 2.0, the public opinion formation site has been partially shifted from the traditional mass media to social media. This phenomenon is continuing to expand, and public opinions on government polices created and shared on social media are attracting more attention. It is particularly important to grasp public opinions in policy formulation because setting up educational policies involves a variety of stakeholders and conflicts. The purpose of this study is to explore public opinions about education-related policies through an empirical analysis of social media documents on education policies using opinion mining techniques. For this purpose, we collected the education policy-related documents by keyword, which were produced by users through the social media service, tokenized and extracted sentimental qualities of the documents, and scored the qualities using sentiment dictionaries to find out public preferences for specific education policies. As a result, a lot of negative public opinions were found regarding the smart education policies that use the keywords of digital textbooks and e-learning; while the software education policies using coding education and computer thinking as the keywords had more positive opinions. In addition, the general policies having the keywords of free school terms and creative personality education showed more negative public opinions. As much as 20% of the documents were unable to extract sentiments from, signifying that there are still a certain share of blog posts or tweets that do not reflect the writers' opinions.

An Analysis of Preservice Teachers' On-line Discussion Based on Social Constructivist Learning Theory (사회적 구성주의 학습이론에 기초한 예비 교사의 온라인 토론 분석)

  • Cha, Jeongho;Noh, Taehee
    • The Journal of Korean Association of Computer Education
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    • v.8 no.1
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    • pp.13-23
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    • 2005
  • In this study, messages from on-line discussions of 28 preservice teachers were analyzed based on social constructivist learning theory. After preliminary discussion session for a week, small group discussions were conducted every single week with different topics during 4 weeks. One transcript with most frequent messages in each topic was selected, and a total of 72 messages were analyzed. Discussion topics were the issues related to the nature of science. The Interaction Analysis Model for Examing Social Construction of Knowledge in Computer Conferencing was used for the analysis. Analysis of the messages indicated that 'sharing information' was the most frequent, and that 'discovering/exploring dissonance' and 'negotiation of meaning/co-construction of knowledge' were the nex. However, messages of 'testing and modification of proposed synthesis' and 'testing and application of newly constructed meaning' were found to be rare. This result indicated that students' interaction through on-line discussion did not reach to the social construction of knowledge.

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Research Trends Investigation Using Text Mining Techniques: Focusing on Social Network Services (텍스트마이닝을 활용한 연구동향 분석: 소셜네트워크서비스를 중심으로)

  • Yoon, Hyejin;Kim, Chang-Sik;Kwahk, Kee-Young
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.513-519
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    • 2018
  • The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

A Study on the Methods to Manage Private Records Utilizing AtoM (Access to Memory): Focused on 'Archive Village' (AtoM을 활용한 민간기록물 관리방안 -'기록사랑마을' 중심으로-)

  • Yuk, Hye-In;Kim, Yong;Jang, Jun-Kab
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.26 no.2
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    • pp.79-105
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    • 2015
  • This study aims to propose management plans for 'Archive Village' that are operating in order to protect important private records and archives. Since 2008, Archive Villages from National Archives of Korea have had nearly 3,000 more records by 2014. However, many users have had difficulties to know the status of the recorded material, even less access to record's informations. This problem arising is that it is difficult to manage and use records. The purpose of this study is to propose a plan for the management of records, which is to realize the 'Computerization of records' official opinion, one of which was raised in the previous study. Because the project is facing the issue of 'human resources and costs', 'the burden of system construction'. This study is implemented records management system considering the problems noted above, utilizing AtoM (Access to Memory).

A Study on Documentation Strategy for Contemporary Incidents (동시대 사건 기록화를 위한 도큐멘테이션 전략 연구 L코믹스 사태를 중심으로)

  • Go, Na Gyeong
    • The Korean Journal of Archival Studies
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    • no.62
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    • pp.185-224
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    • 2019
  • The contemporary incidents, in which hatred toward the socially disadvantaged is the cause, are constantly evoking archivists' social role and responsibility. This study notes the documentation strategy as a way to document contemporary incidents involving the socially disadvantaged as the main actors. The purpose of this study is to propose the documentation strategy for documenting contemporary incidents around the L Comics issue. As a theoretical study, it examines the concept and significance of contemporary incidents documenting and documentation strategies. Through an analysis of the issue's overview, features, key events, and focus groups, the context of the issue was identified, and relevant online records were investigated. In addition, through interviews with stakeholders and experts, opinions on the documentation strategy of the L Comics issue were collected. In conclusion, the study discusses the objectives, direction, principle, category, subject and considerations for documenting the issue, and proposes the documentation strategy for it.

A Study on Determining Archiving Priorities of Primary and Secondary Educational Resources (초·중등 교육자원 아카이브 구축을 위한 자원의 우선순위 선정에 관한 연구)

  • Kim, Seonghun;Do, Suelki;Oh, Sam G.
    • Journal of the Korean Society for information Management
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    • v.36 no.2
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    • pp.153-174
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    • 2019
  • This study was conducted to find out basic facts on educational resources in Korea and see how educators have managed their tasks without educational resource archives. The research had the following steps: 1) finding out how the current state of primary and secondary education resources is managed and type of educational resources via Web search and literature review, 2) conducting a survey to determine archiving priorities according to the value of resources to the users, and 3) engaging in a discussion with experts on merits of establishing an educational resource archive system. Due to sporadic management and restricted use of educational resources produced in Korea, the primary and secondary education resources are not easily available to the public even though the public and private sectors produce significant amount of resources. The survey result on preferred educational resource types for archiving showed the following top three: 1) actual case studies conducted in the field, 2) curriculum related resources, and 3) various textbooks adopted. Considering the value of educational resources and the necessity of archiving agencies, the experts recommended to set up a national archiving system of educational resources. This study hopes to raise awareness of the need to set up educational resource archives as a start.

Multi-day Trip Planning System with Collaborative Recommendation (협업적 추천 기반의 여행 계획 시스템)

  • Aprilia, Priska;Oh, Kyeong-Jin;Hong, Myung-Duk;Ga, Myeong-Hyeon;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.159-185
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    • 2016
  • Planning a multi-day trip is a complex, yet time-consuming task. It usually starts with selecting a list of points of interest (POIs) worth visiting and then arranging them into an itinerary, taking into consideration various constraints and preferences. When choosing POIs to visit, one might ask friends to suggest them, search for information on the Web, or seek advice from travel agents; however, those options have their limitations. First, the knowledge of friends is limited to the places they have visited. Second, the tourism information on the internet may be vast, but at the same time, might cause one to invest a lot of time reading and filtering the information. Lastly, travel agents might be biased towards providers of certain travel products when suggesting itineraries. In recent years, many researchers have tried to deal with the huge amount of tourism information available on the internet. They explored the wisdom of the crowd through overwhelming images shared by people on social media sites. Furthermore, trip planning problems are usually formulated as 'Tourist Trip Design Problems', and are solved using various search algorithms with heuristics. Various recommendation systems with various techniques have been set up to cope with the overwhelming tourism information available on the internet. Prediction models of recommendation systems are typically built using a large dataset. However, sometimes such a dataset is not always available. For other models, especially those that require input from people, human computation has emerged as a powerful and inexpensive approach. This study proposes CYTRIP (Crowdsource Your TRIP), a multi-day trip itinerary planning system that draws on the collective intelligence of contributors in recommending POIs. In order to enable the crowd to collaboratively recommend POIs to users, CYTRIP provides a shared workspace. In the shared workspace, the crowd can recommend as many POIs to as many requesters as they can, and they can also vote on the POIs recommended by other people when they find them interesting. In CYTRIP, anyone can make a contribution by recommending POIs to requesters based on requesters' specified preferences. CYTRIP takes input on the recommended POIs to build a multi-day trip itinerary taking into account the user's preferences, the various time constraints, and the locations. The input then becomes a multi-day trip planning problem that is formulated in Planning Domain Definition Language 3 (PDDL3). A sequence of actions formulated in a domain file is used to achieve the goals in the planning problem, which are the recommended POIs to be visited. The multi-day trip planning problem is a highly constrained problem. Sometimes, it is not feasible to visit all the recommended POIs with the limited resources available, such as the time the user can spend. In order to cope with an unachievable goal that can result in no solution for the other goals, CYTRIP selects a set of feasible POIs prior to the planning process. The planning problem is created for the selected POIs and fed into the planner. The solution returned by the planner is then parsed into a multi-day trip itinerary and displayed to the user on a map. The proposed system is implemented as a web-based application built using PHP on a CodeIgniter Web Framework. In order to evaluate the proposed system, an online experiment was conducted. From the online experiment, results show that with the help of the contributors, CYTRIP can plan and generate a multi-day trip itinerary that is tailored to the users' preferences and bound by their constraints, such as location or time constraints. The contributors also find that CYTRIP is a useful tool for collecting POIs from the crowd and planning a multi-day trip.

A Study on User Preference Test for Development of Guidelines on Standardized Modes (항해장비 표준화모드 지침 개발을 위한 사용자 선호도 조사에 관한 연구)

  • Ahn, Young-Joong;Jeon, Gye-Jeong;Jung, Jae-Hoon;Kang, Nam-Seon
    • Journal of Navigation and Port Research
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    • v.42 no.6
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    • pp.371-377
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    • 2018
  • Navigational equipment standardization mode is a function which is used to standardize key functions, screen display and operation method of major navigation equipment. This is aimed towards to quickly and accurately checking information relevant for safe navigation. Currently, the International Maritime Organization is working on the development of guidelines for the application of navigational equipment in the standardized mode to the task of NCSR Sub-Committee. This study was conducted to investigate users' opinions and preferences in the application of standardization modes and to reflect them in the development of guidelines. In addition, the test program was designed to investigate user preferences for ECDIS among the navigational equipment, such as the types of information and functions that are necessary or preferentially required to perform navigational duties, and the screen configuration. In the study, 333 preference surveys were conducted in 35 countries using a web - based test program. ECDIS users confirmed the content and screen layout of their preferred ECDIS information when conducting navigation duty. The results of the study are significant as they contribute to the development of effective guidelines by presenting user requirements to be considered in the standardization mode.

Developing the District Unit Plan Simulation using Procedural Modeling (절차적 모델링을 활용한 지구단위계획 시뮬레이션 개발)

  • Jun, Jin Hwan;Kim, Chung Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.546-559
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    • 2021
  • This research aimed to develop the district unit plan simulation using procedural modeling based on shape grammar. For this, Esri's CityEngine 2020.0 was selected as a main development tool, and Inside Commercial Area in Bangi-dong, Songpa-gu, Seoul as the research site where about 25% of the total area was developed over the past five years. Specifically, the research developed the simulation through the following three phases of Data-Information-Knowledge after selecting necessary parameters. In the Data phase, 2 and 3 dimensional data were obtained by utilizing data sharing platforms. In the next Information phase, the acquired data were generated into various procedural models according to the shape grammar, and the 2D and 3D layers were then integrated using relevant applications. In the final Knowledge phase, three-dimensional spatial analysis and storytelling contents were produced based on the integrated layer. As a result, the research suggests the following three implications for the simulation development. First, data accuracy and improvement of sharing platforms are needed in order to effectively carry out the simulation development. Second, the guidelines for district unit plans could be utilized and developed into shape grammar for procedural modeling. Third, procedural modeling is expected to be used as an alternative tool for communication and information delivery.

Analyzing Changes in Consumers' Interest Areas Related to Skin under the Pandemic: Focusing on Structural Topic Modeling (팬데믹에 따른 소비자의 피부 관련 관심 영역 변화 분석: 구조적 토픽모델링을 중심으로)

  • Nakyung Kim;Jiwon Park;HyungBin Moon
    • Knowledge Management Research
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    • v.25 no.1
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    • pp.173-192
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    • 2024
  • This study aims to understand the changes in the beauty industry due to the pandemic from the consumer's perspective based on consumers' opinions about their skin online before and after the pandemic. Furthermore, this study tries to derive strategies for companies and governments to support sustainable growth and innovation in the beauty industry. To this end, posts on social media from 2017 to 2022 that contained the keyword 'skin concerns' are collected, and after data preprocessing, 96,908 posts are used for the structural topic model. To examine whether consumers' interest areas related to skin change according to the pandemic situation, the analysis period is divided into 7 periods, and the variables that distinguish each stage are used as meta-variables for the structural topic model. As a result, it is found that consumers' interests can be divided into 22 topics, which can be categorized into four main categories: beauty manufacturing, beauty services, skin concerns, and other. The results of this study are expected to be utilized in construction of product development and marketing strategies of related companies and the establishment of economic support policies by the government in response to changes in demand in the beauty industry due to the pandemic.