• Title/Summary/Keyword: 네이버데이터랩

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Movie attendance and sales forecast model through big data analysis (빅데이터 분석을 통한 영화 관객수, 매출액 예측 모델)

  • Lee, Eung-hwan;Yu, Jong-Pil
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.185-194
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    • 2019
  • In the 100-year history of Korean films, Korean films have grown to more than 100 million viewers every year since 2012, and their total sales are estimated at 1 trillion. It is assumed that the influence on the popularity of Korean movies is related to 2012, when 60% of smartphone penetration rate and 30 million subscribers exceeded. As a result, before and after 2012, changes in movie boxing factor variables were needed, and the prediction model trained as a new independent variable was applied to actual data.

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A Visualization Method for the Ocean Forecast Data using WMS System (WMS 시스템을 이용한 해양예측모델 데이터의 가시화 기법)

  • Kwon, Taejung;Lee, Jaeryoung;Park, Jaepyo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.11-19
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    • 2018
  • Recently, many companies offer various web-based map that is based on GIS(Geographic Information System) information. Google Map, Open street, Bing Map, Naver Map, Daum Map, Vwolrd Map, etc are the few examples of such system. In this paper, we propose a method to visualize ocean forecasting model data considering the flow diagram of tidal current, streamline expression algorithm, and user convenience by using vector field data information that is currently being served. It is confirmed that the proposed method of the flow diagram of tidal current, and stream line expression algorithm is faster than that of conventional ocean prediction model data by more than 2 times.

Methods to Propel Tourism of Yeosu City Using Big Data (빅데이터를 활용한 여수관광 활성화 방안)

  • Lim, Yang-Ui;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.739-746
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    • 2020
  • The fourth industrial revolution introduced at world economic forum in 2016 has had huge effects on tourism industries as well as the change of core technologies in ICT such as big data, IoT, etc, This paper proposes the methods to propel tourism of Yoesu city through big data analysis and questionnaires. Sensitive words and positive-negative trend are extracted by Social Metrics and the keywords for Yeosu tour trends are extracted and analyzed by Naver datalab, and the results are visualized by R language. And frequency, difference, factor, covariance and regression analysis in SPSS are executed for the questionnaires for 493 visitors who traveled in Yeosu city. Sentiment analysis for Yeosu tour and maritime cable car shows that positive effect is much more than negative one. The analyses for questionnaires in SPSS show that Yeosu area is statistically significant to tour satisfaction index and tour revitalization for Yeosu, and favorite sightseeing places and searching electronic devices for age groups are different. The sightseeing places such as a maritime park with soft contents that give joyfulness and healing to tourists are highly attracted in both the big data and questionnaires analysis.

A Big-Data Analysis on Older Adult's Health and Safety Issues (노인의 건강 및 안전문제에 대한 빅데이터 분석)

  • Wang, Lin;Lee, Ju-Gyung;Hwang, Ji-Hyeon
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.336-344
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    • 2019
  • Currently, Korea is entering an aging society, causing the issues of older adults in a wide range of fields. This study focuses on the health and safety issues of the older adults. As a theoretical background, Maslow's hierarchy of needs theory was applied, and a new theory was established in connection with the physiological needs and safety needs of the 5 stages of desire in relation to the health and safety issues of the older adults. Health issues applying to physiological needs for the older adults are examined in detail in the body, perception and psychology areas, and safety accidents occurring indoors and outdoors are examined in relation to safety needs. Naver DataLab, a big data portal, shows that the number of bugs regarding health and safety of the older adults is steadily increasing. And through Google Trends, we can understand the interest setting up related search keyword about the older adults. According to the related search keywords, social part related to health in health issues is ranked high and kewords related to accident type in safety issues is ranked high. These findings will be an important basis data for research and solution to the issues of older adults.

The Effects of Sports Team Performance and Social Media Operations on Fan Engagement: The Moderating Role of Fan Tokens (스포츠 구단의 경기 성적 및 소셜미디어 운영이 팬덤의 인게이지먼트에 미치는 영향: 팬 토큰의 조절 효과를 중심으로)

  • Wookyoung Kim;Yiling Li;Jeonghye Choi
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.195-218
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    • 2023
  • This study empirically analyzes the effect of a sports club's performance and social media operations on online information search volume, reflecting fan engagement. Additionally, it confirms that such effect can vary depending on the issuance of sports fan tokens. The analysis of the data resulted in the support of all four hypotheses presented in this study. The team's goal differentials during the games exhibited a significant and positive effect on the online information search volume by fans. Furthermore, the quantity of a team's social media posts also showed a significant and positive effect on the online information search volume. The aforementioned effects of the team's game-related performance and social media activity on the online information search volume appeared to be strengthened when the sports fan tokens of the team were issued. This study conducts an empirical analysis of fan engagement in sports clubs and delves into the marketing dimensions of sports fan tokens. By doing so, it broadens the research scope within sports marketing and offers practical insights for the development of marketing strategies by sports clubs.

A Study on the Trend and Meaning of Searching for Herbal Medicines in Online Portal Using Naver DataLab Search Trend Service (네이버 데이터랩 검색어 트렌드 서비스를 이용한 온라인 포털에서의 한약재 검색 트렌드와 의미에 대한 고찰)

  • Kim, Young-Sik;Lee, Seungho
    • The Korea Journal of Herbology
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    • v.36 no.5
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    • pp.1-14
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    • 2021
  • Objectives : From January 2020, when the first confirmed case of COVID-19 in Korea, the use of health information using the Internet is expected to increase. It is expected that there will be a significant change in the general public's interest in Korean herbal medicines for health care. Therefore, in this study, we tried to confirm the change in the search trend of Korean herbal medicines after the COVID-19 epidemic. Methods : Using the "Naver DataLab (http://datalab.naver.com)" service of a Korean portal site Naver, search volume was investigated with 606 Korean herbal medicines as keywords. The search period was from January 2020, right after the onset of COVID-19, to June 2021. The search results were sorted by the peak search volume and the total search volume. Results : 'Cheonsangap (천산갑, 穿山甲, Manitis Squama)' was the most searched Korean herbal medicine in the peak search volume and total search volume with least bias. Conclusions : The problem of supply and demand of Korean herbal medicines of high public interest was identified. Broadcasting and media exposure were the factors that had a big impact on the search volume for Korean herbal medicines. As it was confirmed that the search volume for Korean herbal medicines increased rapidly due to media exposure, it is necessary to provide correct information about Korean herbal medicines, improve public awareness, and manage stable supply and demand based on continuous search trend monitoring.

A Study on Major Uninsured Korean Medicine Treatments Search Trends and Their Meanings in an Online Portal: Using Naver Data Lab (온라인 포털에서의 주요 비급여 한의치료 검색 트렌드와 그 의미에 대한 고찰: 네이버 데이터랩을 이용하여)

  • Chan-Young Kwon
    • The Journal of Korean Medicine
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    • v.44 no.3
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    • pp.74-86
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    • 2023
  • Objectives: The purpose of this study was to examine search trends and their meanings for major uninsuired Korean medicine (KM) treatments through analysis of an online portal search results. Methods: Keywords searches were performed using Naver Datalab on 4 July 2023. From January 2016 to June 2023, monthly relative search volume (RSV) for keywords 'pharmacopuncture', 'Chuna', and 'needle-embedding therapy', and 'herbal decoction' were extracted with a score between 0 and 100. For the obtained RSVs, longitudinal changes over time, characteristics according to sex and age group, and correlations between them were investigated. Results: The ranking of RSV for each keyword has changed from 'Chuna', 'herbal decoction', 'needle-embedding therapy', and 'pharmacopuncture' to 'Chuna', 'herbal decoction', 'pharmacopuncture', and 'needle-embedding therapy' after 2019. Overall, the RSV of needle-embedding therapy continuously decreased, while that of pharmacopuncture continuously increased. In 2019, a rapid increase in the RSV of Chuna was observed, and in 2020, a rapid increase in the RSV of herbal decoction was observed. There was a difference in the longitudinal change pattern of RSV for the keywords by age group. Importantly, in the elderly, changes in RSV were observed in a favorable pattern to KM treatment. Conclusion: Our findings enable estimation of the public's interest and its changes for the four uninsuired KM treatment, and can be used as basic data to strengthen health insurance coverage in Korea. Specifically, changes in interest in KM treatments according to sex and age can be referred to.