• Title/Summary/Keyword: 트위터

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Effective Feature Extraction for Tweets Classification (트윗 분류를 위한 효과적인 자질 추출)

  • Hong, Cho-Hee;Kim, Hark-Soo
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06a
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    • pp.229-232
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    • 2011
  • 트위터는 소설 네트워크 서비스 중 하나로, 기존의 미디어 형태와 다른 새로운 형태의 미디어이다. 최근 스마트폰의 사용증가로 접근성이 용이하여 사용자가 급격하게 증가하고 있다. 그래서 트위터 메시지 관리와 응용에 대한 관심이 커지고 있다. 그러나 트위터 데이터의 특징상 정보 추출이 어려워 트위터 데이터 처리의 문제가 발생된다. 본 논문에서는 방대한 양의 트위터 데이터를 관리 및 응용을 위하여 트위터 데이터 분류 실험을 통하여 트위터 데이터에 대한 적합한 자질 추출 기법을 소개한다.

Twitter Corpus Collection and Analysis (트위터 말뭉치 수집과 분석)

  • Yoo, Daehoon;Lee, Cheongjae;Kim, Seokhwan;Lee, Gary Geunbae
    • Annual Conference on Human and Language Technology
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    • 2009.10a
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    • pp.136-140
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    • 2009
  • 최근 기존 블로그와 다른 마이크로 블로그의 한 종류로 트위터가 인터넷 상에서 화두로 대두되고 있다. 트위터는 기존 블로그나 미니홈피의 여러 가지 기능을 간소화하고 짧은 내용의 텍스트만을 올릴 수 있는 마이크로 블로그이다. 그런 이유로 트위터는 단순함과 즉시성이라는 고유의 특성을 가지고 일반적인 인터넷 이용자들에게 급속하게 알려지고 있다. 이러한 트위터를 분석하면 다양한 주제에 대해서 인터넷상의 대중들의 생각과 의견들을 알 수 있는 창구가 될 수 있다. 또한 다른 언어권 국가들의 트위터와 비교하면 양 국가간의 문화적 차이를 알 수 있다. 본 논문에서는 한국어 및 영어권 이용자들의 트위터 상의 메시지를 주제별, 목적별 등으로 분석하였다. 그 결과, 한국에서는 트위터 이용을 개인적인 생각을 적는 일기장으로 많이 사용되지만, 영어권 에서는 그 외에도 보도 자료나 광고등 여러 가지 목적으로 사용되고 있다는 것을 알 수 있다.

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The Effects of Task Value, Twitter Self-efficacy, and Social Presence on Learning Satisfaction on Twitter Discussion (트위터(Twitter)를 활용한 토론학습에서 과제가치, 트위터효능감과 사회적 실재감이 학습만족도에 미치는 영향)

  • Lee, Jeong-Min;Yoon, Na-Ra
    • Journal of The Korean Association of Information Education
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    • v.16 no.1
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    • pp.51-60
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    • 2012
  • The purpose of this study was to investigate how task value, twitter self-efficacy, and social presence affect learning satisfaction on twitter discussion. In addition, this study examined the mediating effects of social presence. Participants were 46 undergraduate students in A university in Seoul, Korea. They responded the following surveys: task value, twitter self-efficacy, social presence, and learning satisfaction. Baron & Kenny (1986)'s mediation analysis approach with correlation and multiple regression analyses were applied to this study. Findings showed the significant effects of task value, twitter self-efficacy, and social presence on satisfaction on twitter discussion. In addition, social presence mediated task value, twitter self-efficacy, and satisfaction. These results suggest that the twitter discussion should be designed to accommodate different learners characteristics such as task value and twitter self-efficacy and promote greater social presence between learners.

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Characteristics of Interactions between Fan and Celebrities on Twitter (유명인과의 트위터 매개 상호작용 특성 탐색)

  • Hwang, Yoosun
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.72-82
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    • 2013
  • The present study explored types of Twitter-mediated communication and emotional responses of Twitter users toward celebrities. Three perspectives of para-social interactions, information hub, and fandom were proposed as communication types on Twitter. Celebrities were classified by entertainer, politician, specialist, and blogger. Communication patterns according to each category of celebrities were analyzed. The patterns of emotional responses, which represents the use of emoticons and emotional expressions were also analyzed. The results show that the type of para-social interactions was frequently accepted for the interactions with politicians and specialists, while fandom style was salient for the entertainers. For the power bloggers, the users tend to adopt the type of information hub interaction. The use of emotions and emotional expressions were most frequent in case of fandom style communication and the messages to the entertainers. Implications were further discussed.

An Evaluation Method for Contents Importance Based on Twitter Characteristics (트위터 특징에 기반한 콘텐츠 중요성 평가 기법)

  • Lee, Euijong;Kim, Jeong-Dong;Baik, Doo-Kwon
    • Journal of KIISE
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    • v.41 no.12
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    • pp.1136-1144
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    • 2014
  • Twitter is a social network service that generates about 140 million contents a day. Contents of Twitter contain a variety of information and many researchers research those in various fields. In this research, we propose a method for evaluating the importance of content based on characteristics of Twitter. We have found that number of follower means user's popularity and Re-tweet that means the popularity of content. We perform experiments about proposed method using real Twitter data for proving effectiveness of proposed method. Also, we found information providers in Twitter are public user who represent a company or a representative of a specific group.

Political Bias Classification Based on Social User Networks on Issuable Political News Article in Twitter (트위터에서 이슈가 되고있는 뉴스 기사에 대한 소셜 사용자 네트워크 기반 정치 성향 분류)

  • Kim, Jun-Gil;Lee, Kyung-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.641-644
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    • 2012
  • 트위터에서 정치 성향을 가지거나 관심이 있는 트위터 사용자는 관심있는 정치 인물이나 단체에 대한 뉴스 기사에 대해 자신의 의견을 남기거나 그대로 인용하게 된다. 또한, 자신의 의견과 공감하거나 비공감하는 트윗에 대해서 리트윗을 하거나 추가적인 자신의 의견을 언급하기도 한다. 본 논문에서는 이슈가 되고있는 정치 뉴스 기사에 대해 관심 있는 트위터 사용자들을 찾아 트위터 사용자들 간의 트윗 문서들 사이에서의 관계 정보를 가지는 사용자 네트워크에서의 트위터 사용자들의 성향을 분류해주는 방법을 제안한다. 제안한 방법의 유효성을 검증하기 위해 트위터에서 이슈가 된 정치 뉴스 기사들과 각 뉴스 이슈를 언급한 트위터 데이터에서 트윗 문서 내용 유사도 기반 분류 방법과의 비교 실험 하였다. 실험 결과에서 사용자간의 관계 정보를 이용한 성향 분류 방법이 유효함을 보였다.

Critical Study on the Forming Public Opinion of SNS and Participation Behavior (SNS의 여론형성과정과 참여행태에 관한 고찰)

  • Park, Sang-Ho
    • Korean journal of communication and information
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    • v.58
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    • pp.55-73
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    • 2012
  • This study is critical research on the forming public opinion of SNS and participation behavior. Twitter is a typical SNS service, free school food and 10.26 re-and by-elections during the formation of public opinion on the impact have been investigated. Formation of public opinion about Twitter's analysis of the first research question, The case of free meals to support the Mayor Oh, rather than against Twitter were influential. 10.26 re-and by-elections Twitter in space, the Park' candidate than Na' candidate has formed a favorable opinion. Power twitterian and twitterian on the behavior of the second study involved analysis of the problem, For free meals, power twitterian were responsible for leading the public opinion. For 10.26 re-and by-elections, Power twitterian were more Park' candidates than Na' candidates. In addition, Park' candidates of twitterians were communicating more. Through traditional media in the process of forming public opinion was swayed by public opinion to the target people simply but SNS age people involved in the production and distribution of the issue and the issue has a leading role.

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Twitter and Retweet Context: User Characteristics and Message Attributes of Twitter for PR and Marketing (기업의 홍보 마케팅용 트위터의 리트윗 현황 분석: 이용자 특성과 콘텐츠 속성을 중심으로)

  • Cho, Tae-Jong;Yun, Hae-Jung;Lee, Choong-C.
    • Information Systems Review
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    • v.14 no.1
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    • pp.21-35
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    • 2012
  • The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

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Intermedia Agenda-setting Effects: Political Debates on TV and Twitter (트위터의 매체 간 의제설정 : TV 토론 방송과 트위터의 여론 형성 과정에 관한 연구)

  • Lee, Seunghee;Lim, Sohei
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.139-149
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    • 2014
  • This study attempts to explore the inter-media agenda setting effect between television and Twitter based on the framework of the two-step flow theory. Twitter's increasingly important role in political communication can be effectively addressed by examining the process by which Twitter users form their opinions on television debate program. Content analyses of Twitter discussions after television debate of the Korean presidential candidates provided interesting insights into how Twitter's opinion leaders reflect on the televised debates. The results show that Twitter mentions rather focus on personality traits of the candidates while television debates emphasize the candiates' policy issues. Specifically, Twitter users mainly concentrated on the political ideology and morality of the candidates. In sum, Twitter seems to have its own way of influencing the public opinion separately from the television.

A Study on Public Information Service using Twitter - Focused on Twitters of Major Metropolitans - (트위터를 활용한 공공 정보서비스 연구 - 주요 광역도시 트위터들을 중심으로 -)

  • Kim, Ji-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.46 no.1
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    • pp.115-133
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    • 2015
  • This study investigates the contents of twitters serviced by metropolitans and citizens' questions to propose improvements. Using content analysis as a research method, this study recorded and analyzed all the tweets of six metropolitans (Seoul, Busan, Daegu, Incheon, Daejeon, Gwangju) for three months. As the results, the frequency analysis of tweets revealed that Busan posted more tweets than other cities, and Seoul posted the highest number of tweet using URL link. The results of content analysis showed that the most frequently provided information from tweeters was about convenience of citizens living. Tweets using URL link were focused on information about citizen living, prize contest, and service announcement. Citizens had a request for information about their life and traffic. For public information service using tweeter in the future, this study provided several important suggestions.