• Journal of Advanced Marine Engineering and Technology
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• v.34 no.6
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• pp.871-879
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• 2010

In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.97-108
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• 2019

Purpose: The purpose of this study is to propose a new Risk Priority Number(RPN) evaluation method which analyzes value of product functions by mining customer opinions in Social Network Service(SNS). Methods: A traditional RPN is measured by three evaluation standards (Severity, Occurrence, Detection) which are analyzed by manufacturing engineers and researchers. On the other hand, these standards are analyzed by customers' viewpoints through SNS opinion mining in this research. In order to extract customer feedbacks from textual data sets, the methodology in this paper implies natural language processing, hereby collecting product related data sets and analyzing the opinions automatically. An emotional polarity of an opinion indicates severity, while the number of negative opinion shows occurrence, and the entire number of customer opinion refers to detection. Results: The results of this study are as follows; As a result of the CRPN evaluation, it is confirmed that the features evaluated as risky are highly likely to be improved in the next series. Therefore, CRPN is an effective risk assessment model that reflects customer feedback. Conclusion: Reflecting customer feedback is a useful tool for risk assessment of the product as well as for developing new products and improving existing products.

• Korean Journal of Child Studies
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• v.22 no.2
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• pp.77-90
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• 2001

This study used 2 coordination tasks to examine the strategy and quality of interactions between mothers and their children. Results were: (1) Most frequently employed strategies of mothers were feedback, orders, explanations followed by questions and opinions. Most frequently employed strategies of children were offering opinions followed by recognition and explanation. (2) In mother-initiated interactions, the mother's-question/child's-opinion sequence was most frequent, and child's acceptance of mother's order, explanation, suggestion, or opinion; child's question to mother's order, and child's explanation were also frequent. In child-initiated interactions, child's-opinion/mother's-feedback occurred most frequently. Mothers' feedback to child's explanation, acceptance, and question was also observed. (3) When mothers and children used strategies of low quality, such as rejection or reprimand, the interactions tended to be negative.

• Asian Journal for Public Opinion Research
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• v.2 no.2
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• pp.71-102
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• 2015

This study investigates the effects of information and predisposition on individual responses to hypothetical questions. By employing the empirical implications of theoretical models (EITM) framework, I confirm that information and predisposition have positive effects on individual substantive responses to the hypothetical questions about the independence-unification issue in Taiwan. Respondents with higher levels of information and predisposition are more likely to provide substantive responses. More importantly, information and predisposition exert a negative interaction effect on individual responses to hypothetical questions, which implies that when an individual counts more on information to respond to hypothetical questions, her predisposition plays a less important role in her responses and vice versa. Finally, this study suggests that hypothetical questions are effective to probe individual opinion on specific issues under hypothetical conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.4
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• pp.107-114
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• 2011

According to the aging society, the housing environments of senior citizens who live alone are faced with social various problems. On the dwelling welfare, development of model for the silver house is necessary at the reducing of social expense. Particularly, the silver housing conditions of rural and fishing villages are poor than urban region. The results of this research are as follows. First, the senior citizens who live alone looked to an negative opinion about cohabitation of the aged, but the senior citizens who don't live alone and preliminary old man group showed a positive opinion to the regarding cohabitation. Second, Most of the aged was in poor health, On this account they expressed an opinion that they were opposite to the cohabitation opinion. Although considering health, simultaneous design of both private life and community life shall be reflected to the preferential design element in co-housing of the aged. Through these co-housing for the aged in rural and fishing village, the senior citizens who lives alone have prevented poor housing surroundings, loneliness, loss of role, uneasiness, gloomy, chronic disease.

• The Journal of Society for e-Business Studies
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• v.19 no.2
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• pp.95-108
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• 2014

Opinion Mining is one of the application domains of text mining which extracting opinions from documents, and much researches are currently underway. Most of related researches focused on the sentiment classification which classifies the documents into positive/negative opinions. However, there is a little interest in extracting the features characterizing the individual product. In this paper, we propose the technique classifying the opinion documents according to the product features, and selecting the those features characterizing each product. In the proposed method, we utilize the document clustering technique and develope a new algorithm for evaluating the similarity between documents. In addition, through experiments, we prove the usefulness of proposed method.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.393-406
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• 2020

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

• Journal of dental hygiene science
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• v.10 no.3
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• pp.141-146
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• 2010

The purpose of this study was to survey the knowledge of parents, to prepare basic data for the development of adjusted water fluoridation program. The survey with self-administrated questionnaire was carried out to n 1,418 parents of school-children in Kimje city and then analyzed obtained the results. The data were analysed using the chisquare test. Over all, 58.4 percent of parents has heard about adjusted water fluoridation. 50.1% respondents knew very well the object of water fluoridation program which is implemented to prevent dental caries. The recognition rate of water fluoridation were different according to respondent's education level(p=.000) and income(p=.019). The approval rate of water fluoridation were different according to respondent's education level age level and income(p<.001). The parents had the affirmative opinion for the adjusted water fluoridation was 4.5 times more than the negative opinion. Respondents approving and opposing for the implementation of water fluoridation were 82.3% and 17.7%, respectively. The recognition rate and approval rate of water fluoridation had the affirmative opinion for the adjusted water fluoridation was more than the negative opinion. Respondents approving and opposing for the implementation of water fluoridation were 85.5% and 14.2%, respectively. The parents of school children had affirmative opinion to the adjusted water fluoridation. So for implementation of the water fluoridation, it is required to reinforce education for inhabitants through delivery of right information and various publicity activities.

• Hwankyungkyoyuk
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• v.18 no.1 s.26
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• pp.70-81
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• 2005

The importance of classes aiming at enhancing students ability in problem solving and decision making has been being recognized as chances of individual citizen for taking part in social decision making processes. This study was intended to find whether teachers' opinion presentation have effects on students' decision making in a class introducing environmental issues. Total of 6 classes, 202 middle school students have participated in a series of experiments including 4 different environmental issues. Only two issues had been addresses in classes as experimental issues and other two issues not addressed as control issues. For each of the two experimental issues, the teacher researcher applied three different approaches to his students that included positive, negative, or no opinion. The results of this study can be summarized as follows; First, the results showed that students changed their decisions on environmental issues more frequently when dealing with those issues in a class than when not dealing with them. Second, as examining the relationship between patterns in which students make decisions and whether a teacher proposed his opinions or not, it is shown that the rates of students whose opinions is not changed nearly have no difference, while when teachers propose their opinions, it is shown that students who haven't yet chosen their positions easily make their decisions into pros or cons, compared with the opposite case. Third, the results of this study partly supported the third hypothesis that teachers opinion presentation would effect on decision-making of students. It was found that there has been a significant effect in the case of car free day system issue, but no statistically meaningful result in the case of no pets in the national park issue. However, in the issue of car free day system, it seems pretty clear that the students followed the direction of teachers' opinion no matter what it was pros or cons.