• 제목/요약/키워드: News value

검색결과 186건 처리시간 0.024초

A study on Deep Learning-based Stock Price Prediction using News Sentiment Analysis

  • Kang, Doo-Won;Yoo, So-Yeop;Lee, Ha-Young;Jeong, Ok-Ran
    • 한국컴퓨터정보학회논문지
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    • 제27권8호
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    • pp.31-39
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    • 2022
  • 주가는 거래량, 종가 등과 같은 숫자 기반의 내부적인 요인뿐만 아니라 법, 유행 등 여러 외부요인에 의해 영향을 받는다. 수많은 요인이 주가에 영향을 미치기 때문에 단편적인 주식 데이터만을 이용한 정확한 주가 예측은 매우 어려운 일이다. 특히 기업의 가치는 실제 주식을 거래하는 사람들의 인식에 영향을 많이 받기 때문에 특정 기업에 대한 감성 정보가 중요한 요인으로 여겨진다. 본 논문에서는 시간적 특성을 고려한 뉴스 데이터의 감성 분석을 이용한 딥러닝 기반 주가 예측 모델을 제안하고자 한다. 주식과 뉴스 데이터, 서로 다른 특성을 가진 2개의 이종 데이터를 시간 크기에 따라 통합하여 모델의 입력으로 사용하며, 시간 크기와 감성 지표가 주가 예측에 미치는 영향에 대해 최종적으로 비교 및 분석한다. 또한 우리는 기존 모델과의 비교 실험을 통해 제안 모델의 정확성이 개선되었음을 검증한다.

A Study on the News Frame of COVID-19 Vaccine through Structural Topic Modeling and Semantic Network Analysis

  • Eun-Ji Yun;Bo-Young Kang
    • 한국컴퓨터정보학회논문지
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    • 제28권5호
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    • pp.129-153
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    • 2023
  • 본 연구는 코로나19 팬데믹 상황이 심각하였을 때, 대중들의 관심도가 높은 코로나19 백신과 관련한 대량의 언론 보도 프레임을 분석하여, 위기커뮤니케이션의 핵심 요소로서 바람직한 언론의 역할과 방향성을 모색하기 위해 수행되었다. 본 연구의 기간은 코로나19 백신 개발이 가시화되기 시작한 2020년 11월부터 2021년 6월까지 8개월이며, 연구 대상은 대중 신뢰도 및 이용도 순위에 따라 조선일보, 중앙일보, 동아일보, 한겨레로 설정하였다. 결과의 정확성 및 효율성을 제고하기 위해 최신 빅데이터 연구 기법인 구조적 토픽 모델링(STM) 및 의미연결망 분석 기법을 활용하였다. 연구결과, 구성 단어들의 명확한 군집도 및 중심성 분석값을 기반으로 각 언론사 당 16개 프레임, 총 64개의 유의미한 프레임이 도출되었다. 또한 프레임의 구성 정도 및 내용에 대한 차이를 확인하기 위해 4개 언론사를 비교 분석하였으며, 모든 언론사마다 유의미한 차이가 없음을 확인하였다.

소비 대체 양식어종 간의 가격 인과성과 변동성 전이에 관한 연구 (The Causality and Volatility Spillover between Farming fish Species in Consumption Replacement Relation)

  • 강석규
    • 수산경영론집
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    • 제46권3호
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    • pp.119-127
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    • 2015
  • This study is to analyse the causality and volatility spillover between farming fish species in consumption replacement relation using flatfish(oliver flounder) and rockfish's wholesale market price data from September 2006 to July 2015. For the analysis, VAR(5) model and bivariate asymmetric GARCH-BEKK model are employed. The empirical results of this study are summarized as follows: First, the price volatility of flatfish and rockfish is very large without the trend during the sample period. Second, the correlation coefficient between flatfish and rockfish wholesale markets has positive 0.1059 value. Third, causality relation is unidirectional from rockfish market to flatfish market. Fourth, conditional volatility spillover effect is unidirectional from rockfish market to flatfish market, but asymmetric volatility effect is bidirectional between flatfish and rockfish markets that implies the bad news arising from flatfish wholesale market impact on rockfish market's volatility and the bad news arising from rockfish wholesale market impact on flatfish market's volaltilty. Consequently, based on the thus results, the volatility spillover effect interacts and is bidirectional between flatfish and rockfish wholesale markets.

Why Healthy Workplaces Matter

  • Best, Robert S.
    • 국제초고층학회논문집
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    • 제6권4호
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    • pp.297-300
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    • 2017
  • Employers are realizing that workplaces have an immense impact on productivity. And, because people typically represent about 90% of a company's costs, even a slight improvement in productivity hits the bottom-line in a very big way. The focus is shifting away from saving money by reducing space needs or cutting energy requirements, and moving toward making the workplace friendlier and healthier. What is a healthy workplace, exactly? The answer should be clear by now. Mountains of research have expounded on this very topic, and then news outlets cover the latest discoveres ad infinitum. The problem is, research is rather dense, while the news isn't comprehensive. Office managers trying to improve workplace wellness want neither a 55-page report nor a half dozen articles to convince their landlord that their space can do better. Recognizing this gap, Harvard researchers have released a concise-yet-complete list of healthy building features. Here, we're sharing these nine features with a few insights of our own on the value of being healthy and productive. Find out: ${\bullet}$ What makes a healthy building and why is it so important ${\bullet}$ How to improve the health of your own office ${\bullet}$ What happens for your people and your bottom line when you make health a priority.

문재인 케어 정책에 대한 미디어 프레임 분석 (Analysis of Media Frames of Moon Jae-in Care policy)

  • 이근찬
    • 보건의료산업학회지
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    • 제12권3호
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    • pp.13-26
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    • 2018
  • Objectives: This study investigated how Korean daily newspapers frame the present government's health insurance coverage expansion policy, Moon Jae-in Care. Methods: A contents analysis was conducted to construct news frames represented in the four Korean daily newspapers' editorials and columns on Moon Jae-in Care during from April 2017 to April 2018. News text was classified into three different layers of frames: expressive element, narrative structure, and implied values. Results: The analysis revealed that the frequency of narrative frames was as follows: health system improvement (20.8%), public burden (14.6%), opposition by doctors (14.6%), and populism (12.5%). The financial sustainability accounted for 41.7% of the value frame, followed by procedural legitimation (18.8%), and coverage expansion (16.7%). The results also revealed that reported frames were different among newspapers: Chosun Ilbo tended to report in a negative tone, while Hankyoreh shinmun and Kyunghyang shinmun used a positive tone. Conclusions: This finding suggests that there are salient framings in reports on Moon Jae-in Care. Based on the results, the government needs to present a detailed financing plan on Moon Jae-in Care in detail. I discussed another implication of media frames results.

뉴스 감성 앙상블 학습을 통한 주가 예측기의 성능 향상 (An Accurate Stock Price Forecasting with Ensemble Learning Based on Sentiment of News)

  • 김하은;박영욱;유시은;정성우;유준혁
    • 대한임베디드공학회논문지
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    • 제17권1호
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    • pp.51-58
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    • 2022
  • Various studies have been conducted from the past to the present because stock price forecasts provide stability in the national economy and huge profits to investors. Recently, there have been many studies that suggest stock price prediction models using various input data such as macroeconomic indicators and emotional analysis. However, since each study was conducted individually, it is difficult to objectively compare each method, and studies on their impact on stock price prediction are still insufficient. In this paper, the effect of input data currently mainly used on the stock price is evaluated through the predicted value of the deep learning model and the error rate of the actual stock price. In addition, unlike most papers in emotional analysis, emotional analysis using the news body was conducted, and a method of supplementing the results of each emotional analysis is proposed through three emotional analysis models. Through experiments predicting Microsoft's revised closing price, the results of emotional analysis were found to be the most important factor in stock price prediction. Especially, when all of input data is used, error rate of ensembled sentiment analysis model is reduced by 58% compared to the baseline.

A User-centered Classification Framework for Digital Service Innovation : Case for Elderly Care Service

  • Lim, Hong-Tak;Han, Jeong-Won
    • International Journal of Contents
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    • 제14권1호
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    • pp.7-11
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    • 2018
  • Digital technology has been changing everyday life of ordinary people let alone the structure of world industry. The elderly care service is also going through changes influenced by the unavoidable impact from torrents of digital technologies. There are numerous reports and news about the digital technologies increasing the efficiency and effectiveness of care service yet lacking systematic understanding of the sources of such improvement. This study aims to present a new classification framework for digital elderly care service innovation to fully utilize the power of digital technologies drawing on insights from innovation studies and service studies. First, 4 features of digital technologies are identified as sources of new value in service innovation. The co-creation of value by users and producers in service and technology development is discussed to illuminate users' contributions to service innovation. Communication of needs and ideas with producers and application of new technologies into everyday practice of life are identified as the source of new value which can be attributed to the elderly. Customization along with efficiency gains is the key to digital elderly care service innovation. The classification framework, thus, incorporates the needs of the elderly as one axis of criteria in the conventional technology-centered framework. The new classification framework would help give due weight to user-driven or demand-driven innovation in the elderly care service R&D activities.

소셜 네트워크 서비스와 공연예술: 활용가치와 가능성 (Social Network Services and Performing Arts: Value and potential of its application)

  • 최현주;안병주
    • 지식경영연구
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    • 제12권5호
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    • pp.59-69
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    • 2011
  • The popularity of the social media has enabled growth of the social network, which has a big impact on culture and arts sector. The impact is based on the fact that news and evaluation of performances are communicated actively through the use of on-line community, and that the advent of social commerce makes more people see better performance at a lower price. Besides, collaboration programs called Social Sourcing are springing up in the arts sector, and there is Crowd Funding for culture & arts which is a desirable form of social funding. In this way social media and social network service (SNS) have huge social influence not only on the performing arts sector but also on the whole culture and arts sector, and are expected to have growing dominance. With SNS - which opened new marketing, publicity and donation system not only for the whole society but also for the culture and arts sector - in mind, this paper handles the topics on understanding of close relationship between SNS and performing arts, and on its current usage, value and endless possibilities. By presenting the practical value and the possibilities, this paper will help in making smooth the communication between stakeholders and audience of performing arts, in making effective the means of performance delivery, and in making enlarged the mutual understanding between performers and audience. This paper will also be the basis of an alternative means, which presents the performing arts sector with possibilities to get out of the chronic deficit.

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멀티미디어 검색을 위한 shot 경계 및 대표 프레임 추출 (Shot boundary Frame Detection and Key Frame Detection for Multimedia Retrieval)

  • 강대성;김영호
    • 융합신호처리학회논문지
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    • 제2권1호
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    • pp.38-43
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    • 2001
  • 본 논문에서는 MPEG 비디오 스트림을 분석하여 DCT DC 계수를 추출하고 이들로 구성된 DC 이미지로부터 제안하는 robust feature를 이용하여 shot 검출을 수행한 후 각 feature들의 통계적 특성을 이용하여 스트림의 특징에 따라 weight를 부가하여 구해진 characterizing value의 시간 변화량을 구한다. 추해진 변화량의 local maxima와 local minima는 비디오 스트림에서 각각 가장 특징적인 frame과 평균적인 frame을 나타낸다. 이 순간의 shot을 구함으로서 효과적이고 빠른 시간 내에 key frame을 추출한다. 추출되어진 key frame에 대하여 원영상을 복원한 후, 색인을 위하여 다수의 parameter를 구하고, 사용자가 질의한 영상에 대해서 이들 파라메터를 구하여 key frame들과 가장 유사한 대표영상들을 검색한다. 실험결과 일반적인 방법보다 더 나은 결과를 보였고, 높은 검색율을 보였다.

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A Study on Economic Value of Korean Private Universities' Profitable Business Based on Successful and Failed Cases

  • LEE, Choon-Ho
    • 융합경영연구
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    • 제9권4호
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    • pp.9-18
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    • 2021
  • Purpose: This study examines some successful and failed cases of Korean private universities' profitable business and explores the desirable economic value and direction of their profitable business business operations with a view to shedding light on some clues conducive to their financial health and quality education. Research design, data and methodology: This study reviews news articles, reports and literature to find out Korean universities' financial condition and examines some successful and failed examples of their corporations' profit-making business operations to suggest a direction. Results: Private universities suffer declining enrollments and/or tuition freeze but they lack in making efforts to secure financial health. The reviewed examples of private universities' profit-making business operations suggest both universities and their corporations should first assume the public accountability prior to engaging in diverse business activities. Conclusions: First, to remain financially healthy, university corporations should exert themselves to transform their low-profit-margin lands and buildings into high-profit-margin businesses and to credit the realized income to their school-expense accounts. And, the ultimate purpose of universities' profit-making business operations is to realize a decent income without prejudice to their public accountability for the country and community, while forging a virtuous cycle by investing the income for the betterment of their educational quality and competitiveness.