• 제목/요약/키워드: opinion change

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정량적 엔진평가에 의한 엔진 윤활유 평가기술

  • 전상명
    • Tribology and Lubricants
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    • v.13 no.2
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    • pp.8-15
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    • 1997
  • It is very difficult to express the state of a tested engine objectively concerning the malfunction, failure and wear of an engine. The general method of engine evaluation is to express evaluator's opinion for the engine state after testing. However, these methods is only subjective evaluation because test engineers, designers, and evaluators does not easily coincide in opinion. Therefore, in this article, the method of engine rating are introduced in order to represent the qualitative trends into quantitative value. The purpose of Engine Rating is to assign a quantified value to the tribology state of a tested engines. Originally, this Engine Rating method have been used to evaluate the performance of engine oil quantitavely. Using this method, we can predict the proper interval of engine oil change due to its objectivity. So, we can prevent the frequent change of engine oil and protect the environmental contamination. Furthermore, this method can be used to tell the general state of a tested engine after finishing engine durability tests. A single merit scale is used to evaluate numerically the state of cleanliness and the mechanical condition. Generally, a part which is absolutely clean or shows no wear, is rated merit 10. A part which is absolutely dirty or very worn, is rated merit 0.

Media Use and Political Participation in China: Taking Three National Large-N Surveys as Examples

  • Miao, Hongna
    • Asian Journal for Public Opinion Research
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    • v.7 no.1
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    • pp.1-22
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    • 2019
  • In the age of continuous media change and the coexistence of multiple forms of media, the relationship between the public's media use and political participation is an urgent area of study. This paper makes use of large national sample surveys from 2002, 2011, and 2015, summarizes the change of the public's media use by descriptive statistics analysis, and finds that while the Internet has become an important communication channel, the use of Internet for political information and political participation is still overestimated. Compared to the weak impact of different media channels for political information on political participation, the frequency of media exposure and Internet use play a significant role in political participation. Because of the negative effect of the frequency of Internet use on political participation, the democratization function of the Internet needs to be treated with caution. This paper describes media use and its roles in contemporary China, analyzes the impact of media use on political participation, and extends the cross-cultural application of the theory of political communication.

A Study on Transition Factor of Audit Opinion (감사의견(監査意見)의 추이요인(推移要因)에 관한 연구(硏究))

  • Chung Youn-Hae
    • Management & Information Systems Review
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    • v.7
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    • pp.141-168
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    • 2001
  • The causes that the transparency of Korean accounting information was rated low, a short supply of faithful and transparent accounting information from the limitation of external audit environment must be pointed out. Purpose of the external audit is a expression of the auditors about that financial statements an enterprise made public were appropriately drew up in accordance with the corporate accounting principles from important point of view. Analysis of the audit opinion and so fourth according to 6,541 individual audit reports and introduced to the bill securities forward committee as a subject of external audit according to the raw of corporation external audit show that considerable change to the contents of audit report. This show as it is that uncertainty of future that is now being faced by our enterprise, because corporation which present audit reports since 1997 because of enterprise dishonor and contents of existence probability as a continued enterprise following to general economic crisis after 1998 occupy important position in special matters of audit report. Also, increase in special matters is due to application of the corporate accounting principles revised on December 11, 1998. In 1999, audit opinion under limitation(limitation, incongruity and rejecting opinion) increased greatly according to existence doubt as a continued enterprise, and this is the consequence of strengthening audit to the continues enterprise because of limited enterprise dishonor according to the stagnancy of business activities after 1997. Now financial supervisory service put in effect electromagnetic public announcement system about a project report of listed corporation (including an audit report) keeping pace with a documentary public announcement system as first phase since 1999 and expand to the unlisted corporation from 2000. As electromagnetic public announcement of public announcement documents including audit documents of external audit subject get a duty, approach of external user to the accounting information will be easier. Fixation of this system will make deep and wide analysis to the audit opinion, and this will draw up a plan to reconsider confidence of accounting information.

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Stock-Index Invest Model Using News Big Data Opinion Mining (뉴스와 주가 : 빅데이터 감성분석을 통한 지능형 투자의사결정모형)

  • Kim, Yoo-Sin;Kim, Nam-Gyu;Jeong, Seung-Ryul
    • Journal of Intelligence and Information Systems
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    • v.18 no.2
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    • pp.143-156
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    • 2012
  • People easily believe that news and stock index are closely related. They think that securing news before anyone else can help them forecast the stock prices and enjoy great profit, or perhaps capture the investment opportunity. However, it is no easy feat to determine to what extent the two are related, come up with the investment decision based on news, or find out such investment information is valid. If the significance of news and its impact on the stock market are analyzed, it will be possible to extract the information that can assist the investment decisions. The reality however is that the world is inundated with a massive wave of news in real time. And news is not patterned text. This study suggests the stock-index invest model based on "News Big Data" opinion mining that systematically collects, categorizes and analyzes the news and creates investment information. To verify the validity of the model, the relationship between the result of news opinion mining and stock-index was empirically analyzed by using statistics. Steps in the mining that converts news into information for investment decision making, are as follows. First, it is indexing information of news after getting a supply of news from news provider that collects news on real-time basis. Not only contents of news but also various information such as media, time, and news type and so on are collected and classified, and then are reworked as variable from which investment decision making can be inferred. Next step is to derive word that can judge polarity by separating text of news contents into morpheme, and to tag positive/negative polarity of each word by comparing this with sentimental dictionary. Third, positive/negative polarity of news is judged by using indexed classification information and scoring rule, and then final investment decision making information is derived according to daily scoring criteria. For this study, KOSPI index and its fluctuation range has been collected for 63 days that stock market was open during 3 months from July 2011 to September in Korea Exchange, and news data was collected by parsing 766 articles of economic news media M company on web page among article carried on stock information>news>main news of portal site Naver.com. In change of the price index of stocks during 3 months, it rose on 33 days and fell on 30 days, and news contents included 197 news articles before opening of stock market, 385 news articles during the session, 184 news articles after closing of market. Results of mining of collected news contents and of comparison with stock price showed that positive/negative opinion of news contents had significant relation with stock price, and change of the price index of stocks could be better explained in case of applying news opinion by deriving in positive/negative ratio instead of judging between simplified positive and negative opinion. And in order to check whether news had an effect on fluctuation of stock price, or at least went ahead of fluctuation of stock price, in the results that change of stock price was compared only with news happening before opening of stock market, it was verified to be statistically significant as well. In addition, because news contained various type and information such as social, economic, and overseas news, and corporate earnings, the present condition of type of industry, market outlook, the present condition of market and so on, it was expected that influence on stock market or significance of the relation would be different according to the type of news, and therefore each type of news was compared with fluctuation of stock price, and the results showed that market condition, outlook, and overseas news was the most useful to explain fluctuation of news. On the contrary, news about individual company was not statistically significant, but opinion mining value showed tendency opposite to stock price, and the reason can be thought to be the appearance of promotional and planned news for preventing stock price from falling. Finally, multiple regression analysis and logistic regression analysis was carried out in order to derive function of investment decision making on the basis of relation between positive/negative opinion of news and stock price, and the results showed that regression equation using variable of market conditions, outlook, and overseas news before opening of stock market was statistically significant, and classification accuracy of logistic regression accuracy results was shown to be 70.0% in rise of stock price, 78.8% in fall of stock price, and 74.6% on average. This study first analyzed relation between news and stock price through analyzing and quantifying sensitivity of atypical news contents by using opinion mining among big data analysis techniques, and furthermore, proposed and verified smart investment decision making model that could systematically carry out opinion mining and derive and support investment information. This shows that news can be used as variable to predict the price index of stocks for investment, and it is expected the model can be used as real investment support system if it is implemented as system and verified in the future.

Sentiment Classification considering Korean Features (한국어 특성을 고려한 감성 분류)

  • Kim, Jung-Ho;Kim, Myung-Kyu;Cha, Myung-Hoon;In, Joo-Ho;Chae, Soo-Hoan
    • Science of Emotion and Sensibility
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    • v.13 no.3
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    • pp.449-458
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    • 2010
  • As occasion demands to obtain efficient information from many documents and reviews on the Internet in many kinds of fields, automatic classification of opinion or thought is required. These automatic classification is called sentiment classification, which can be divided into three steps, such as subjective expression classification to extract subjective sentences from documents, sentiment classification to classify whether the polarity of documents is positive or negative, and strength classification to classify whether the documents have weak polarity or strong polarity. The latest studies in Opinion Mining have used N-gram words, lexical phrase pattern, and syntactic phrase pattern, etc. They have not used single word as feature for classification. Especially, patterns have been used frequently as feature because they are more flexible than N-gram words and are also more deterministic than single word. Theses studies are mainly concerned with English, other studies using patterns for Korean are still at an early stage. Although Korean has a slight difference in the meaning between predicates by the change of endings, which is 'Eomi' in Korean, of declinable words, the earlier studies about Korean opinion classification removed endings from predicates only to extract stems. Finally, this study introduces the earlier studies and methods using pattern for English, uses extracted sentimental patterns from Korean documents, and classifies polarities of these documents. In this paper, it also analyses the influence of the change of endings on performances of opinion classification.

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A study on the relationship between selective exposure, opinion change, and political participation in a digital news distribution environment (개인과 미디어의 선택성이 강화된 디지털 뉴스 유통 환경에서 선택적 노출과 의견변화, 정치참여의 관계 연구)

  • Jihee Shin;Seungchan Yang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.391-406
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    • 2024
  • The current distribution of digital news has the potential to produce politically biased information for users as a result of individual choices and media selection based on those choices. Consequently, this research explored the factors affecting individual news selection and the effects of opinion changes and political participation that can occur when news tailored to users' partisan preferences is recommended. The phenomenon of selective exposure has been shown to be stronger when individuals utilize more limited information processing, experience higher discussion efficacy among groups with similar political beliefs. Furthermore, When a selective exposure group was randomly provided with a one-way message news that matched their partisan leanings, it was found that opinion consolidation, opinion-reinforcing information processing, and online political participation. On the other hand, when they were randomly presented with two-way messaging news in which the media balanced two competing partisan positions, they were found to be more likely to understand the other side's views and arguments, and more willing to adjust their existing opinions. We are confirmed that the balanced use of various opinions is very important in deliberative democratic process.

Modeling of Public Risk Perception and Risk Communication Research: In A Social-Cognitive Direction

  • Li, Yiwei;Guo, Yu;Ito, Naoya
    • Asian Journal for Public Opinion Research
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    • v.1 no.3
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    • pp.217-231
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    • 2014
  • This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

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

  • Chernyaeva, Olga;Ziyan, Yao;Hong, Taeho
    • The Journal of Information Systems
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    • v.31 no.2
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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.

Vulnerability Analysis of Water Resources Considering Climate Change (기후변화를 고려한 수자원 분야의 취약성 분석)

  • Kim, Da-Eun;Jung, Yong;Park, Moo-Jong;Yoon, Jae-Young;Kim, Sang-Dan;Choi, Min-Ha
    • Journal of Wetlands Research
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    • v.13 no.1
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    • pp.25-33
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    • 2011
  • Climate change is the variation of long term weather pattern based on statistical diversities in terms of natural and artificial factors. Recent numerous extreme weather phenomena have increasingly obtained people's awareness of climate change. Since water resources field especially has higher vulnerability caused by climate variation, the major part of future preparation should be focused on risk minimization of water resources. However, in reality validation of water resources vulnerability is not well built up. For this research, Delphi Method was applied to evaluate middle/small size rivers in Korea with respect to the degree of vulnerability due to the climate change. Delphi Survey is based on iterative, anonymous characteristics with experts' opinion sharing on the given issues. For this study, three iterative surveys were operated for the degree of vulnerability. First round was for selecting vulnerability indicators in terms of the magnitude of total score, and second and third rounds were for collecting experts' idea with opinion convergence. Per the variance of standard deviation of 2nd and 3rd surveys divergence, we clearly see the achievement of opinion agreement. For the future study, we may need to find an applicable field using delphi indicators with various circumstances.

A Study on The Utility Estimation about Employment of The Disabled (AHP를 이용한 장애인고용의 효용성평가 연구)

  • Na, Hea-Sook
    • Journal of the Korea Safety Management & Science
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    • v.10 no.2
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    • pp.225-235
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    • 2008
  • It is expected that the change of industrial structure of Knowledge based economy, and service based economy would affect on economic life of physically-challenged person with no exceptions. There have been some former studies which have been misunderstood the employment of disabled due to the declining employment of the disabled and prejudice to the disabled based on biased perspective and public opinion. This study have analyzed the employment conditions of the ordinary workers and disabled workers out of those prejudices and biased opinions. Wage, economic activity ratio, age, educational background and industry those 5 parameters are brought for analyzing the two comparison group. Each parameter have compared based on the statistical data of ordinary workers and disabled workers for past 7 years. Weight between each parameter have been drawn by collecting the experts' opinion using AHP(Analytic Hierarchy Process), and utility of employment of two comparison groups have been estimated through progress inclination of each parameter. Through the estimated outcome, present condition and controversial issues and way of improvement of domestic employment of ordinary workers and the disabled is mentioned.