• 제목/요약/키워드: Positive Opinion

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Unveiling the Mediating Role of Personality: Exploring the Nexus between Transformational Leadership and Work Stress in Public Organizations

  • Rohana Ahmad;Mohd Fo'ad Sakdan;Halimah Abdul Manaf
    • Asian Journal for Public Opinion Research
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    • 제12권1호
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    • pp.1-27
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    • 2024
  • This study investigates the interplay between transformational leadership, personality, and work stress in public organizations, focusing on public servants in Putrajaya, Kuala Lumpur. Data from 702 public servants in Putrajaya, Kuala Lumpur, out of 800 distributed questionnaires, were analyzed. Rigorous analysis employed a structural equation model (SEM) with partial least squares (PLS-SEM) methodology. Our empirical analysis challenges the conventional belief of a positive correlation between transformational leadership and work stress in public organizations, revealing no direct link between transformational leadership and increased work stress in this context. Our study highlights a significant positive correlation between personality and work stress among public servants, emphasizing the role of individual personality characteristics in shaping work-related stress levels. Finally, personality emerged as a crucial mediator in the transformational leadership-work stress relationship, indicating that transformational leadership indirectly influences work stress through its impact on personality. This underscores the importance of considering personality as a mediating factor in understanding the transformational leadership-work stress dynamic in public organizations. In summary, our research provides insights into the relationship between transformational leadership, personality, and work stress in public organizations. These findings challenge conventional assumptions, emphasize individual differences in stress levels, and underscore the mediating role of personality in addressing work stress among public servants.

텍스트 마이닝과 오피니언 마이닝 분석을 활용한 국내외 스포츠용품 브랜드 비교·분석 연구 (Comparison and Analysis of Domestic and Foreign Sports Brands Using Text Mining and Opinion Mining Analysis)

  • 김재환;이재문
    • 한국콘텐츠학회논문지
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    • 제18권6호
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    • pp.217-234
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    • 2018
  • 본 연구는 국내외 스포츠용품 브랜드에 대한 빅데이터 분석을 실시하였다. 이를 위해 소셜 매트릭스 프로그램인 텍스톰과 패션데이터 분석 플랫폼인 MISP를 통해 텍스트 마이닝, TF-IDF, 오피니언 마이닝, 관심도 그래프를 실시하였으며, 스포츠브랜드에 대한 최근 인식을 살펴보기 위해 2017년 1월 1일부터 2017년 12월 31일까지 1년간을 연구대상 기간으로 한정하였다. 분석 결과, 첫째, 각 브랜드를 대표하는 상품을 확인할 수 있었다. 둘째, 각 브랜드를 대표하는 마케팅을 확인할 수 있었다. 셋째, 각 브랜드에서 공통적으로 추출된 단어를 확인할 수 있었다. 넷째, 각 브랜드의 긍정 및 부정에 대한 감정을 확인할 수 있었다.

온라인 소셜 네트워크 서비스 환경에서 유력자의 매개 중심성이 구전 효과에 미치는 영향 (The Impact of Influential's Betweenness Centrality on the WOM Effect under the Online Social Networking Service Environment)

  • 박지혜;서보밀
    • Journal of Information Technology Applications and Management
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    • 제20권2호
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    • pp.127-146
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    • 2013
  • The online social networking services (SNS) have been growing as the means of communication. In this study, we investigated word-of-mouth (WOM) effect under the SNS environment and evaluated the impact of message sender's influence on the WOM effect. Especially, this study focused on the betweenness centrality calculated through the social network analysis (SNA) of SNS network information, and proposed it as the measure of WOM message sender's influence, SNA may provide more accurate and objective measures than subjective self-reporting survey method. Fifty-one Facebook users responded to each of their four Facebook friends, who had been selected based on their betweenness centrality, Statistical analyses were performed using the responses and the betweenness centralities of the Facebook friends. The results showed that the direction (positive vs, negative) of a WOM message in SNS had an impact on the attitude of the message receiver toward the product. Moreover, the betweenness centrality of the message sender as well as his/her opinion leadership had a moderating effect on the WOM effect. Opinion leadership is a measure that has been frequently used for indicating the influence of WOM message sender in the previous studies. Considering the result that the betweenness centrality of the message sender was Significantly correlated to his/her opinion leadership, the betweenness centrality can be used for indicating the influence of WOM message sender.

Understanding the Changes in Tourists' Opinions in the Era of the COVID-19

  • Chernyaeva, Olga;Ziyan, Yao;Hong, Taeho
    • 한국정보시스템학회지:정보시스템연구
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    • 제31권2호
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    • pp.239-261
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    • 2022
  • Purpose The purpose of this study is to explore and compare changes in tourist opinion during the COVID-19 pandemic. Since the COVID-19 outbreak has caused changes in all areas of our lives, the conditions related to confinement during a lockdown have led to changes in tourists' habits and behaviors. Design/methodology/approach To analyze opinion changes about tourist attractions, this study performed topic modeling by summarizing topics into five dimensions: management, scenery, price, suggestion, and safety; then, based on the topic modeling results, sentiment analysis and emotion analysis were conducted to explore the change of tourists' opinion during the COVID-19 pandemic. Findings According to the results, this study confirmed the pandemic's positive effect on tourists' opinions about attractions after the COVID 19 outbreak. Presumably due to the absence of lines and crowed. Moreover, the dimension 'Safety' started to appear in US tourists' attractions reviews only in the period after the outbreak and during the mass vaccination. These results mean that tourists started to care more about safety due to the impact of the COVID-19 pandemic.

빅데이터 분석을 활용한 프리다이빙 슈트에 대한 소비자 인식 연구 (A Study of Consumer Perception on Freediving Suits Utilizing Big Data Analysis)

  • 김지은;이은영
    • 한국의상디자인학회지
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    • 제26권2호
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    • pp.87-99
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    • 2024
  • Freediving, an underwater leisure sport that involves diving without the use of a breathing apparatus, has gained popularity among younger demographics through the viral spread of images and videos on social media platforms. This study employs prominent Big Data analysis techniques, including text mining, Latent Dirichlet Allocation (LDA) topic analysis, and opinion mining to explore the keywords associated with freediving suits over the past five years. The research aims to analyze the rapidly evolving market trends of freediving suits and the increasingly complex and diverse consumer perceptions to provide foundational data for activating the freediving suit market and developing strategies for sustained growth. The study identified the keyword 'size' related to freediving suits and conducted opinion mining on 'freediving suit sizes'. Although the results showed a higher positive than negative sentiment, negative keywords were also extracted, indicating the need to understand and mitigate the negative factors associated with 'size'. The findings offer vital guidelines for the advancement of the freediving suit market and enhancing consumer satisfaction. This study is important as it contributes foundational data for continuous growth strategies of the freediving suit market.

인터넷 감정기호를 이용한 긍정/부정 말뭉치 구축 및 감정분류 자동화 (Automatic Construction of a Negative/positive Corpus and Emotional Classification using the Internet Emotional Sign)

  • 장경애;박상현;김우제
    • 정보과학회 논문지
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    • 제42권4호
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    • pp.512-521
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    • 2015
  • 네티즌은 인터넷을 통해서 상품을 구매하고 상품에 대한 감정을 긍정 혹은 부정으로 상품평에 표현한다. 상품평에 대한 분석은 잠재적 소비자뿐만 아니라 기업의 의사결정에 중요한 자료가 된다. 따라서 인터넷의 대량 리뷰에서 의미 있는 정보를 분석하여 의견을 도출하는 오피니언 마이닝 기술의 중요성이 증대되고 있다. 기존의 연구는 대부분이 영어를 기반으로 진행되었고 아직 한글에 대한 상품평 분석은 활발히 이루어 지지 않고 있다. 또한 한글은 영어와 달라 꾸미는 말과 어미가 복잡한 특성을 갖고 있다. 그리고 기존의 연구는 통계적 기법, 사전 기법, 기계학습 기법 등을 사용하여 연구되었으나 인터넷 언어의 특성을 감안하지는 못하였다. 본 연구에서는 감정이 포함된 인터넷 언어의 특성을 분석하여 감정분석의 정확률을 높이는 감정분류 방법을 제안한다. 이를 통해 데이터에 독립적인 인터넷 감정기호를 이용해서 자동으로 긍정 및 부정 상품평을 분류할 수 있었고 높은 정확률, 재현율, Coverage 결과를 통해서 제안 알고리즘의 유효성을 확인할 수 있었다.

오피니언 마이닝을 이용한 페이스북 팬 페이지 평가 시스템 (Facebook Fan Page Evaluation System Based on User Opinion Mining)

  • 판트렁녹;유명식
    • 한국통신학회논문지
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    • 제40권12호
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    • pp.2488-2490
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    • 2015
  • 본 논문에서는 페이스북에 게시된 글의 어휘 분석 및 호불호를 평가하여, 게시된 글에 대한 정확한 평가를 할 수 있는 시스템을 제안하였다. 기존 평가시 스템과의 성능 비교를 통하여 제안 시스템의 평가 정확도가 높음을 확인하였다.

의견정보 검색엔진을 위한 웹 콘텐츠 마이닝 시스템 (Web Contents Mining System for Opinion Information Searching Engine)

  • 주해종;박영배;최혜길
    • 정보학연구
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    • 제12권3호
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    • pp.7-17
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    • 2009
  • This research is about the design of an opinion drawing and analysis system through statistical based Web Mining of web contents, where data of opinions are automatically drawn and analyzed concerning web documents that are scattered around in various web sites that exist within the internet. Furthermore, provides a search service that can easily classify positive/negative opinions and also provide searching and statistical information. Users, who want to search for opinions, can input a specific keyword to observe opinions of others easily. In addition, there is a merit in materializing the monitoring system.

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Associations Between Grit, Sustainable Behavior, and Emotional Well-Being

  • Choi, Jihye
    • Asian Journal for Public Opinion Research
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    • 제8권2호
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    • pp.144-159
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    • 2020
  • This paper investigated the impact of grit on sustainable behavior and emotional well-being. A questionnaire about grit, sustainable behavior, and emotional well-being was administered to 273 undergraduate students in South Korea. To examine the association between the variables, this study used two spell out (SEM) comparison models. The results show that grit is positively related to sustainable behavior and emotional well-being. The effect of grit on emotional well-being was mediated by sustainable behavior. The effect of grit is higher on sustainable behavior than emotional well-being. In addition, sustainable behavior has a positive relationship to emotional well-being. The results show that the grit has an important implication for sustainable environment education and individual well-being.

Naïve Bayes와 SVM을 이용한 트위터 데이터의 긍정/부정 의견 자동분류 결과 분석 (Initial Analysis of Positive/Negative Opinion Classification of Twitter Data Using Naïve Bayes and SVM)

  • 조희련;김성국
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2012년도 춘계학술발표대회
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    • pp.406-409
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    • 2012
  • '나꼼수 비키니 시위'에 대 긍정적(지지), 부정적(비판) 의견을 담은 트위터 데이터를, 단어의 출현에 주목하여 Naïve Bayes (NB)와 Support Vector Machine (SVM)을 적용하여 자동분류 한 결과, NB가 75.98%로, 73.65%인 SVM 보다 약간 더 나은 성능을 보였다. 본 실험을 통해, 기계학습을 이용한 대중의견(opinion) 자동분류 시스템을 실용화할 때의 고려사항에 대해 살펴 본다.