• Title/Summary/Keyword: SNS 데이터

Search Result 560, Processing Time 0.029 seconds

An Analysis of Social Perception on Forest Using News Big Data (뉴스 빅데이터를 활용한 산림에 대한 사회적 인식 변화 분석)

  • Jang, Youn-Sun;Lee, Ju-Eun;Na, So-Yeon;Lee, Jeong-Hee;Seo, Jeong-Weon
    • Journal of Korean Society of Forest Science
    • /
    • v.110 no.3
    • /
    • pp.462-477
    • /
    • 2021
  • The purpose of this study was to understand changes in domestic forest policy and social perception of forests from a macro perspective using big data analysis of news articles and editorials. A total of 13,570 'forest' related data were collected from metropolitan and economic journals from 1946-2017 using keyword and CONCOR (Convergence of iterated Correlations) analysis. First, we found the percentage of articles and editorials using the keyword 'forest'increased overall. Second, news data on 'forest' in the field of reporting was concentrated in the "social" sector during the first period (1946-1966), followed by forest-related issues expanding to various fields from the second (1967-1972) to fifth (1988-1997) periods, then toward the "culture" sector in the sixth (1998-2007) and "politics" after the seventh (2008-2017) period. Third, we found changes in the policy paradigm over time significantly changed social awareness. In the first and second periods, people experienced livelihood issues rather than forest greening or forest protection policy and expanded their awareness of planned and scientific afforestation (third) to environmental protection (fourth) and ecological perspectives (sixth to seventh). The key outcome of our analysis was leveraging news big data that reflected polices on forests and public social perception To further derive future social issues,more in-depth analysis of public discourse and perception will be possible using textual big data and GDP of various social network services (SNS), such as combining blogs and YouTube.

A Study of the Consumer Major Perception of Packaging Using Big Data Analysis -Focusing on Text Mining and Semantic Network Analysis- (빅데이터 분석을 통한 패키징에 대한 소비자의 주요 인식 조사 -텍스트 마이닝과 의미연결망 분석을 중심으로-)

  • Kang, Wook-Geon;Ko, Eui-Suk;Lee, Hak-Rae;Kim, Jai-neung
    • Journal of the Korea Convergence Society
    • /
    • v.9 no.4
    • /
    • pp.15-22
    • /
    • 2018
  • The purpose of this study is to investigate the consumer perception of packaging using big data analysis. This study use text mining to extract meaningful words from text and semantic network analysis to analyze connectivity and propagation trends. Data were collected by dividing the 'packaging(Korean)' and 'packaging(English)'. This study visualized the word network structure of the two key words and classified them into four groups with similar meaning through CONCOR analysis. The group name was specified based on the words constituting the classified group. These groups are a major category of consumers' perception of packaging. Especially cosmetics and design have high frequency of words and high centrality. Therefore it can be expected that the packaging design is perceived as important in the cosmetics industry. This study predicts consumers' perception of packaging so it can be a basis for future research and industry development.

Prediction of Onion Purchase Using Structured and Unstructured Big Data (정형 및 비정형 빅데이터를 이용한 양파 소비 예측)

  • Rah, HyungChul;Oh, Eunhwa;Yoo, Do-il;Cho, Wan-Sup;Nasridinov, Aziz;Park, Sungho;Cho, Youngbeen;Yoo, Kwan-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.11
    • /
    • pp.30-37
    • /
    • 2018
  • The social media data and the broadcasting data related to onion as well as agri-food consumer panel data were collected and investigated if the amount of money spent to purchase onion in year 2014 when onion price plunged latest were correlated with the frequencies of onion-related keywords in the social media data and the broadcasting programs because onion price in year 2018 is expected to plunge due to overproduction and there has been needs to analyze impacts of social media and broadcasting program on onion purchase in the previous similar events, and identify potential factors that can promote onion consumption in advance. What we identified from our study include a) broadcasting news programs mentioning words "onion," were correlated with onion purchase with 3 - 6 weeks in advance; b) broadcasting entertainment programs mentioning words "onion and health," were correlated with onion purchase with 11 weeks in advance; c) blog mentioning words "onion and efficacy," were correlated with onion purchase with 5 weeks in advance. Our study provided a case on how social media and broadcasting programs could be analyzed for their effects on consumer purchase behavior using big data collection and analysis in the field of agriculture. We propose to use the findings from the study may be applied to promote onion consumption.

The Social and Economic Impact of the Urban Regeneration Project in Jeonju Hanok Village Area (전주 한옥마을의 도시재생사업이 지역변화에 미친 영향)

  • Kim, Ju-Young;Heo, Sun-Young;Moon, Tae-Heon
    • Journal of the Korean association of regional geographers
    • /
    • v.23 no.1
    • /
    • pp.106-117
    • /
    • 2017
  • Recently, urban regeneration is being actively promoted in Korea and among those Jeonju Hanok Village is the major project which is the most consistently promoted. For this, visitors of Jeonju Hanok Village are skyrocketing. However, due to this condition, various problems are occurring, especially about commercialization. In this regard, this study is to suggest management of the Jeonju Hanok Village and new orientation in the policy, by analyzing physical, economic, and social status due to urban regeneration for Jeonju Hanok Village which has lost its identity and been commercialized. For this, the study analyzed changes in land usage and real transaction price, SNS data. Firstly, in the physical analysis, the study realized that there is commercialization going around the main streets of Jeonju Hanok Village. Due to the rapid commercialization, living spaces for locals are replaced to commercial spaces for tourists, and the emigration of locals is caused by economic/environmental damages with the degradation of housing environments. Secondly, in the economic analysis, there was no gap in real transactions among streets in 2010 but has shown a valid gap in 2016. The traffic of tourists is heavy and the real transaction prices of streets that are adjacent to major tourist sights rose the most. Rising real transaction prices are a positive phenomenon in the aspect of the city regeneration but it is concerned that they can be perceived as investment subjects. Thirdly, in the social analysis, tourists are using commercial aspects more than historical or cultural sites, and have lots of interest on those. However, because there are also lots of opinions about the commercialization of Hanok Village, we think the plans which can establish the identity of Hanok Village should be prepared. The study has its meaning on analyzing reality based on the land usage, real transaction, SNS data and suggesting political implications.

  • PDF

A Study on the Semantic Network Analysis of "Cooking Academy" through the Big Data (빅데이터를 활용한 "조리학원"의 의미연결망 분석에 관한 연구)

  • Lee, Seung-Hoo;Kim, Hak-Seon
    • Culinary science and hospitality research
    • /
    • v.24 no.3
    • /
    • pp.167-176
    • /
    • 2018
  • In this study, Big Data was used to collect the information related to 'Cooking Academy' keywords. After collecting all the data, we calculated the frequency through the text mining and selected the main words for future data analysis. Data collection was conducted from Google Web and News during the period from January 1, 2013 to December 31, 2017. The selected 64 words were analyzed by using UCINET 6.0 program, and the analysis results were visualized with NetDraw in order to present the relationship of main words. As a result, it was found that the most important goal for the students from cooking school is to work as a cook, likewise to have practical classes. In addition, we obtained the result that SNS marketing system that the social sites, such as Facebook, Twitter, and Instagram are actively utilized as a marketing strategy of the institute. Therefore, the results can be helpful in searching for the method of utilizing big data and can bring brand-new ideas for the follow-up studies. In practical terms, it will be remarkable material about the future marketing directions and various programs that are improved by the detailed curriculums through semantic network of cooking school by using big data.

A Study on the Factors Influencing the Use of Social Networking Services in China (중국의 사회 연결망 서비스 이용에 영향을 미치는 요인에 관한 연구)

  • Fang, Hualong;Kwon, Sun-Dong
    • Journal of Information Technology Applications and Management
    • /
    • v.16 no.2
    • /
    • pp.45-63
    • /
    • 2009
  • China has the largest number of the user of web 2.0 such as messengers and blogs, as of 2008 year. Chinese Internet digital market will grow from $85 billion in 2007 to $264 billion in 2015. The importance of Chinese Internet business is increasing, because of its size and growth potential. This research is focused on following two questions. First, what are the major characteristics of social networking services in China? In order to find out the answer about this question, the case study on Tencent QQ and Sina Poco, the most representative social networking services company in China, was done. And the reason of the use of social networking services, their contents, and the attitude toward the paid service were identified. Second, what are the major factors influencing the use of social networking services in China. User participation, network effect, usefulness, and system quality were inferred as the factors influencing the use. These factors were based on motivation theory, technology acceptance model, and the related research papers. This research model was proved by data analysis using Partial Least Square. As results, the use of social networking services was influenced by usefulness, network effect, user participation, and system quality. But social influence was not significant of the use of social networking services.

  • PDF

A Study on Social Network of Library Information User (도서관 정보 수요자를 위한 소셜 네트워크 서비스 도입에 관한 연구)

  • Cho, Jane
    • Journal of Korean Library and Information Science Society
    • /
    • v.39 no.2
    • /
    • pp.169-186
    • /
    • 2008
  • Social Network has been known as friendship basis human relation service in online network. But a broad sense of Social Network can be explained as a mechanism which makes web evolve to information-ecosystem by human relation and network data which has been generated by the mass of people's cooperation and interchange. Social Network has been expanding their domain from friendship basis relation service to broad social relationship focus of matter of concern. It has been applied to diverse domain. Library community begins to take an interest in Social Network concept to apply user's interchange for information. This paper considers the concept of Social network and it's appliance to a library service. For the more, suggest basic element for vitalizing library user's Social network.

  • PDF

A Study on Humanity Convergence Map using space metaphor and POI (point of interest) of Big Data (빅데이터 중 POI와 공간 메타포를 활용한 인문 융합 지도 연구)

  • Lee, Won-Tae;Kang, Jang-Mook
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.15 no.3
    • /
    • pp.43-50
    • /
    • 2015
  • Google, Yahoo, Daum and Naver has the POI(point of interest) service. And POI on the map is expending to social commerce, SNS, social game and social shopping. At the same time the uses's position on the map is the starting point of the Humanities Story. That means our current position is the place for stories of tales, children's song, fictional characters, the film background, lyrics and the birth of great people. This study points out that service has the limited to cafe, restaurant and hospital, and suggests the Humanities fusion Map Service which is combined with the POI information.

A Study on the Impact of the SNS-Based Virtual Brand Community Identity on Brand Loyalty (SNS에 기반한 가상 브랜드 커뮤니티의 아이덴티티가 브랜드 충성도에 미치는 영향)

  • Chen, Xinyan;Kim, Minsung;Kang, Daeseok;Suh, Woojong
    • Journal of Information Technology Applications and Management
    • /
    • v.22 no.4
    • /
    • pp.181-203
    • /
    • 2015
  • Customers who show high level of brand loyalty are one of the most important corporate assets. Accordingly, customers' brand loyalty has been addressed as a critical issue for the business success. In today's business environment where business channels to customers have expanded and diversified continuously, especially the use of social network services (SNSs) have drawn a lot of attention as an effective channel to promote customers' brand loyalty. This study, thus, analyzes the impact of the virtual brand community identity on customers' brand loyalty, focusing on the role of the sense of communities as mediators. The analysis was conducted by using the data collected from 239 users of Chinese virtual brand communities. The results show that both virtual brand community identity and the sense of communities significantly influence on customers' brand loyalty. Furthermore, the results reveal that both of the community belongingness and community trust composing the sense of community partially mediate virtual brand community and brand loyalty as hypothesized. Based on the results, the strategic implications are suggested and discussed, focusing on improving the customers' brand loyalty in the context of SNSs. Our findings and discussions can help companies develop their customer strategies for utilizing the virtual communities to strengthen customers' brand loyalty.

User Experience and the Multi-Stage Adoption of Mobile Apps

  • Kim, Ambrose;Kim, Kyoung-jae
    • Journal of Information Technology Applications and Management
    • /
    • v.21 no.2
    • /
    • pp.49-79
    • /
    • 2014
  • The adoption of technology has always been of interest to academicians and practitioners of the field of Management Information System. This is so because without proper and adequate adoption, technology-no matter how beneficial or advanced it may be-will be of little value to users. Numerous researches, such as the researches of the Technology Acceptance Model (TAM) or the Unified Theory of Acceptance and Use of Technology (UTAUT), had been conducted to understand the human nature in association with the adoption or rejection of technologies that have bombarded the users. The coming of smart technologies (i.e., smart phones and devices), however, seems to have fundamentally changed the environment for adoption. The ubiquity combined with mobility of technology, especially when it comes to mobile apps, seem to make the old PC era of two-stage-pre and post-adoption models obsolete. A new model of adoption that identifies the determinants of technology acceptance and continuance is needed for the smart age. To this end, this paper undertakes an empirical study, by analyzing 229 users of Social Networking Service (SNS) mobile apps, to identify the role of user experience on the multi-stage adoption of technology, and provides results that User Experience (UX) plays the crucial role of bridging the separate stages of pre and post adoption of technologies. The paper concludes by providing practical implications of the new model as it relates to mobile apps and technologies, and recommendations for further studies to get a better understanding of technology adoption in the smart age.