• Title/Summary/Keyword: Users' Opinion

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A Classification and Selection Method of Emotion Based on Classifying Emotion Terms by Users (사용자의 정서 단어 분류에 기반한 정서 분류와 선택 방법)

  • Rhee, Shin-Young;Ham, Jun-Seok;Ko, Il-Ju
    • Science of Emotion and Sensibility
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    • v.15 no.1
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    • pp.97-104
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    • 2012
  • Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.

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Investigating the Influence of Perceived Usefulness and Self-Efficacy on Online WOM Adoption Based on Cognitive Dissonance Theory: Stick to Your Own Preference VS. Follow What Others Said (온라인 구전정보 수용자의 지각된 정보유용성과 자기효능감이 구전정보 수용의도에 미치는 영향에 관한 연구: 의견고수와 구전수용의 비교)

  • Lee, Jung Hyun;Park, Joo Seok;Kim, Hyun Mo;Park, Jae Hong
    • Asia pacific journal of information systems
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    • v.23 no.3
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    • pp.131-154
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    • 2013
  • New internet technologies have created a revolutionary new platform which allows consumers to make decision about product price and quality quickly and provides information about themselves through the transcript of online reviews. By expressing their feelings toward products or services on virtual opinion platforms, users extend their influence into cyberspace as electronic word-of-mouth (e-WOM). Existing research indicates that an impact of eWOM on the consumer decision process is influential. For both academic researchers and practitioners, investigating this phenomenon of information sharing in online website is essential given the increasing number of consumers using them as sources of purchase decisions. It is worthwhile to examine the extent to which opinion seekers are willing to accept and adopt online reviews and which factors encourage adoption. Discerning the most motivating aspects of information adoption in particular, could help electronic marketers better promote their brand and presence on the internet. The objectives of this study are to investigate how online WOM influences a persons' purchase decision by discovering which factors encourage information adoption. Especially focused on the self-efficacy, this research investigates how self-efficacy affects on information usefulness and adoption of online information. Although people are exposed to same review or comment about product or service, some accept the reviews while others do not. We notice that accepting online reviews mainly depends on the person's preference or personal characteristics. This study empirically examines this issue by using cognitive dissonance theory. Specifically, in the movie industry, we address few questions-is always positive WOM generating positive effect? What if the movie isn't the person's favorite genre? What if the person who is very self-assertive so doesn't take other's opinion easily? In these cases of cognitive dissonance, is always WOM generating same result? While many studies have focused on one direct of WOM which indicates positive (or negative) informative reviews or comments generate positive (or negative) results and more (or less) profits, this study investigates not only directional properties of WOM but also how people change their opinion towards product or service positive to negative, negative to positive through the online WOM. An experiment was conducted quantitatively by using a sample of 168 users who have experience within the online movie review site, 'Naver Movie'. Users were required to complete a survey regarding reviews and comments taken from the real movie page. The data reflected user's perceptions of online WOM information that determined users' adoption level. Analysis results provide empirical support for the proposed theoretical perspective. When user can't agree with the opinion of online WOM information, in other words, when cognitive dissonance between online WOM information and users' preference occurs, perceived self-efficacy significantly decreases customers' perception of usefulness. And this perception of usefulness plays an important role in determining users' intention to adopt online WOM information. Most of researches have been concentrated on characteristics of online WOM itself such as quality or vividness of information, credibility of source and direction of online WOM, etc. for describing effect of online WOM, but our results suggest that users' personal character (e.g., self-efficacy) plays decisive role for acceptance of online WOM information. Higher self-efficacy means lower possibility to accept the information that represents counter opinion because of cognitive dissonance, whereas the people that have lower self-efficacy are willing to accept the online WOM information as true and refer to purchase decision. This study suggests a model for understanding role of direction of online WOM information. Also, our result implicates the importance of online review supervision and personalized information service by confirming switching opinion negative to positive is more difficult than positive to negative through the online WOM information. This implication would help marketers to manage online reviews of their products or services.

Comparison of Online Game User Communities by using Social Network Analysis (소셜네트워크 분석을 통한 온라인게임 이용자커뮤니티 간 비교)

  • Ha, Sung-Ho;Im, Kwang-Hyuk;Pae, Hyun-U
    • The Journal of the Korea Contents Association
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    • v.9 no.8
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    • pp.178-189
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    • 2009
  • This paper investigates the influence of social networks on the satisfaction and loyalty of online game users. We gather the resulting questionnaires written by all respondents and compare social networks of users in the online game world. Social networks of online game users influence a sense of community. In consequence, the community sense influences the satisfaction and loyalty of online game users, respectively. Therefore, the companies which produce an online game and provide various services to users should consider the social networks and communities of their game users. Especially they have to try to manage the users who are the opinion leaders of the online game. If the companies make good relationships with users who are the opinion leaders of the online game, they would easily improve the loyalty of ordinary users by performing word-of-moth marketing of the users' opinions concerning about the online game.

A Parallel HDFS and MapReduce Functions for Emotion Analysis (감성분석을 위한 병렬적 HDFS와 맵리듀스 함수)

  • Back, BongHyun;Ryoo, Yun-Kyoo
    • Journal of the Korea society of information convergence
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    • v.7 no.2
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    • pp.49-57
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    • 2014
  • Recently, opinion mining is introduced to extract useful information from SNS data and to evaluate the true intention of users. Opinion mining are required several efficient techniques to collect and analyze a large amount of SNS data and extract meaningful data from them. Therefore in this paper, we propose a parallel HDFS(Hadoop Distributed File System) and emotion functions based on Mapreduce to extract some emotional information of users from various unstructured big data on social networks. The experiment results have verified that the proposed system and functions perform faster than O(n) for data gathering time and loading time, and maintain stable load balancing for memory and CPU resources.

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Study on Effective Extraction of New Coined Vocabulary from Political Domain Article and News Comment (정치 도메인에서 신조어휘의 효과적인 추출 및 의미 분석에 대한 연구)

  • Lee, Jihyun;Kim, Jaehong;Cho, Yesung;Lee, Mingu;Choi, Hyebong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.149-156
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    • 2021
  • Text mining is one of the useful tools to discover public opinion and perception regarding political issues from big data. It is very common that users of social media express their opinion with newly-coined words such as slang and emoji. However, those new words are not effectively captured by traditional text mining methods that process text data using a language dictionary. In this study, we propose effective methods to extract newly-coined words that connote the political stance and opinion of users. With various text mining techniques, I attempt to discover the context and the political meaning of the new words.

A Study on the Improvement of Web-based Services Evaluation and Certification Program (웹기반 서비스 인증.평가제도 발전방향에 관한 연구)

  • 서광규
    • Journal of the Korea Safety Management & Science
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    • v.6 no.2
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    • pp.127-139
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    • 2004
  • Web-based services have fundamentally confidential problems due to characteristics of internet environment such as anonymity. These problems are serious obstacles to grow the web-based services. The security and confidence of web-based services rely on both service provider and users' opinion. But the former has difficulty in trusting the service provider and the latter takes too long time to propagete all users after converging their opinion. Therefore it is necessary to establish the objective and confidential evaluation and certification program for web-based service. In this paper, the internal and external web-based services evaluation and certification programs are compared and analyzed. The critical factors and evaluation methodology for secure and confidential web-based service are identified. Finally, this paper provides the improvement and strategy for web-based services evaluation and certification program.

A Study on the Innovation of an Office Space by Post Occupancy Evaluation (거주후평가(P.O.E)에 의한 오피스공간의 개선방안에 관한 연구)

  • 한혜련
    • Korean Institute of Interior Design Journal
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    • no.29
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    • pp.188-194
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    • 2001
  • Increasing the user's need in the building facilities, the architects, engineers, and building managers must consider the user's opinion when they plan and construct the buildings. When planning and managing of the buildings, accepting the user's opinion is desirable and indispensible to solve the Problems about the architectural facilities between suppliers and users. To supply the efficient working environments, use the check listing tools and operate the post occupancy evaluation. The real estate and development company is selected for the evaluation. It is renovated in 2000 to fit in its working environment. The process of the evaluation is proceeded both private and group working spaces and facility and management of the buildings with 10 categories. Following the result of Post occupancy evaluation, the users of the building are mostly satisfied with their working environments after the renovation. However, the categories in thermal environment and indoor air and supply for office work need to be improved in advance.

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Measuring the Third-Person Effects of Public Opinion Polls: Focusing On Online Polls (여론조사보도에 대한 제3자효과 검증: 온라인 여론조사를 주목하며)

  • Kim, Sung-Tae;Willnat, Las;Weaver, David
    • Korean journal of communication and information
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    • v.32
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    • pp.49-73
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    • 2006
  • During the past decades, public opinion polls have become an ubiquitous tool for probing the complexity of people's beliefs and attitudes on a wide variety of issues. Especially since the late 1970s, the use of polls by news organizations has increased dramatically. Along with the proliferation of traditional polls, in the past few years pollsters and news organizations have come to recognize the advantages of online polls. Increasingly there has been more effort to take the pulse of the public through the Internet. With the Internet's rapid growth during the past years, advocates of online polling often emphasize the relative advantages over traditional polls. Researchers from Harris Black International Ltd., for example, argue that "Internet polling is less expensive and faster and offers higher response rates than telephone surveys." Moreover, since many of the newer online polls draw respondents from large databases of registered Internet users, results of online polls have become more balanced. A series of Harris Black online polls conducted during the 1998 gubernatorial and senatorial elections, for example, has accurately projected the winners in 21 of the 22 races it tracked. Many researchers, however, severely criticize online polls for not being representative of the larger population. Despite the often enormous number of participants, Internet users who participate in online polls tend to be younger, better educated and more affluent than the general population. As Traugott pointed out, the people polled in Internet surveys are a "self selected" group, and thus "have volunteered to be part of the test sample, which could mean they are more comfortable with technology, more informed about news and events ... than Americans who aren't online." The fact that users of online polls are self selected and demographically very different from Americans who have no access to the Internet is likely to influence the estimates of what the majority of people think about social or political issues. One of the goals of this study is therefore to analyze whether people perceive traditional and online public opinion polls differently. While most people might not differentiate sufficiently between traditional random sample polls and non representative online polls, some audiences might perceive online polls as more useful and representative. Since most online polls allow some form of direct participation, mostly in the form of an instant vote by mouse click, and often present their findings based on huge numbers of respondents, consumers of these polls might perceive them as more accurate, representative or reliable than traditional random sample polls. If that is true, perceptions of public opinion in society could be significantly distorted for those who rely on or participate in online polls. In addition to investigating how people perceive random sample and online polls, this study focuses on the perceived impact of public opinion polls. Similar to these past studies, which focused on how public opinion polls can influence the perception of mass opinion, this study will analyze how people perceive the effects of polls on themselves and other people. This interest springs from prior studies of the "third person effect," which have found that people often tend to perceive that persuasive communications exert a stronger influence on others than on themselves. While most studies concerned with the political effects of public opinion polls show that exit polls and early reporting of election returns have only weak or no effects on the outcome of election campaigns, some empirical findings suggest that exposure to polls can move people's opinions both toward and away from perceived majority opinion. Thus, if people indeed believe that polls influence others more than themselves, perceptions of majority opinion could be significantly altered because people might anticipate that others will react more strongly to poll results.

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The Study on the Communication Pattern of Influential Opinion Leaders for Effective Viral Marketing at Facebook (페이스북에서 효과적인 바이럴마케팅을 위한 영향력 있는 의견지도자의 커뮤니케이션 패턴 연구)

  • Cho, Seung Ho;Cho, Sang-Hoon
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.201-209
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    • 2013
  • This study is an application of facebook (FB) as a strategic communication of viral marketing. Old fashioned advertising and public relation in facebook are not effective at social network service(SNS) environment, and a different marketing communication is needed because facebook is essentially oriented for building relationship among people. The study assumes that an opinion leader might exist at facebook and tries to find out how facebook users show a pattern of communication based on level of opinion leadership regarding a product. The findings showed that people with high opinion leadership communicated more actively than people with low opinion leadership. This study will contribute to segment seed consumers using opinion leadership in facebook.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

  • Suratnoaji, Catur;Arianto, Irwan Dwi;Sumardjijati, Sumardjijati
    • Asian Journal for Public Opinion Research
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    • v.6 no.1
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    • pp.31-38
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    • 2018
  • Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.