• Title/Summary/Keyword: comments analysis

Search Result 405, Processing Time 0.027 seconds

The WeChat Mini Program for Smart Tourism

  • Ao Cheng;Gang Ren;Taeho Hong;Chulmo Koo
    • Asia pacific journal of information systems
    • /
    • v.29 no.3
    • /
    • pp.489-502
    • /
    • 2019
  • The WeChat mini program is an application embedded in WeChat that users can use without downloading and installing. After it was officially released in 2017, many travel enterprises have launched their own mini programs on the WeChat platform. This study applies affordance theory to investigate the WeChat mini program's role in tourism activities through social network analysis using the R programming language. The authors searched the topic of "how do you perceive the travel-related WeChat mini program" and then crawled the 200 comments found; 180 comments were analyzed after data cleansing. The results show that travel-related WeChat mini programs play a very important role in Chinese social network tourism activities. This paper found that WeChat played a more active role in various tourism-related interactions with Chinese social networks. Moreover, the results show how affordance theory is applied to the use of WeChat mini programs.

Interpersonal Conflicts and Communication among Medical Residents, Nurses and Technologists (전공의와 간호사.의료기사간의 인간관계 갈등과 의사소통에 관한 연구)

  • Kim, Yong-Soon;Park, Jin-Hee;Lim, Ki-Young
    • Korea Journal of Hospital Management
    • /
    • v.11 no.2
    • /
    • pp.16-31
    • /
    • 2006
  • Through investigating communication contents, extent of conflict, and its causes between medical residents and nurses/technicians, this study will provide the effective communication skills to ease interpersonal conflicts and maintain healthy partner relationships. This is a descriptive study to find out the communication contents, extent of conflicts and its causes between medical residents and nurses/technicians. Data were collected from April $1^{st}$, 2004 to April $8^{th}$, 2004 from 118 medical residents, 288 nurses, 85 radiology technicians and 107 laboratory technicians in 4 university hospitals in Seoul capital region. Data analysis was done with SPSS version 11.0 using descriptive statistics, ANOVA and chi-test. Interpersonal conflict towards medical residents were rated higher by nurses than technicians (Nurses > Technologists = Medical residents). Causes of conflict showed regional differences. In communication contents, all regions showed "Thank you" and "Well done" as most pleasant comments. Medical residents proved other medical residents' negative comments as most unpleasant and nurses and technicians proved residents' commanding phrases, disrespectful speech, and urging comments to be most unpleasant. Communication between the center members of the medical organization is very important in treating patients and understanding each other. For smooth conflict resolutions and maintaining healthy partner relationships, continued education and support for appropriate communication and interpersonal relationship skills is needed.

  • PDF

A Study of Users' Ideological Propensity in the Comments of Online News: Focusing upon the Stories of the Web Portal Sites and the Press Website News Related to the 20th presidential Election (온라인 뉴스 댓글에 나타난 뉴스 이용자들의 이념적 성향에 관한 연구: 포털과 언론사닷컴의 20대 대선 관련 뉴스기사를 중심으로)

  • Kwang Soon Park;Jong Mook Ahn
    • Journal of Industrial Convergence
    • /
    • v.20 no.12
    • /
    • pp.135-143
    • /
    • 2022
  • This paper aims to grasp what propensity users have in their ideology from the comments in the Web Portal News and the Press Website News. Through these analytical results, the political propensities of not only the Web Portal News and the Press Website News but also the voters who use these news media could be grasped. The collection of data necessary for this study has been made from the comments of 174 news stories for about 90 days before the election day. For the analysis, T-test has been used in order to compare Naver News with Daum News, the Minjoo Party of Korea with the People Power Party, and the Press Web Site News with Naver News. As a result of the analysis, the comments of Naver News took the higher percentage in the positive writings about the candidates of the conservative party. but, in contrast, those of Daum News in that percentage were higher about the ones of the progressive party. Accordingly, it can be found that Naver News is mainly used by users with the politically conservative propensity, while Daum News is mostly used by those with progressive one.

The Effect of Review Attributes on Brand Attitude, Purchase Decision and e-WOM Intention in Online Shopping Mall (온라인 쇼핑몰에서의 리뷰 속성이 브랜드 태도, 구매결정 및 온라인 구전의도에 미치는 영향)

  • Zhang, Han;Kim, Joon-Sung
    • Journal of Digital Convergence
    • /
    • v.19 no.7
    • /
    • pp.113-127
    • /
    • 2021
  • This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.

About the Multi-layered Communication of Princess Pari on the Webtoon Platform of Daum -Focusing on Analysis of Narrative Structure and Comments (Daum 웹툰 <바리공주>를 통해 본 고전 기반 웹툰 콘텐츠의 다층적 대화 양상 -서사구조와 댓글 분석을 중심으로)

  • Choe, Key-Sook
    • Journal of Popular Narrative
    • /
    • v.25 no.3
    • /
    • pp.303-345
    • /
    • 2019
  • This article analyzes the multi-layered communication in the Webtoon Princess Pari, released on the Daum portal site, created (written and illustrated) by Kim Naim, through analyzing the narrative structure and comments with the qualitative / quantitative methodology. The webtoon Princess Pari is structured in an omnibus style in which unit narratives are intermittently articulated, multi-lined, and interconnected. As integrated narratives which link with unitary narratives, Pari's growth story as a shaman and a romance narrative are structured. The classical original story of the shaman was used as a prehistory corresponding to the prequel of the webtoon through a preview, and the writer restructured the narrative to overcome the contradictions of the gender asymmetry and the patriarchal ideology of the original text. The viewer then creates a conversational space by giving critical and reflective comments. According to a statistical analysis conducted through sampling, the types of comments can be classified as follows: Appreciation and criticism of the contents ≫ Emotional response ≫ Intuitive overall review ≫ Knowledge and reflection ≫ Comments on comments. In the process of creation and acceptance of the Webtoon, a multi-layered dialogue between classical and modern, content and audience, acceptance and creation has been at play. In the creation dimension, the writer used a device to fill the gap of mythical symbols of the contents. At the level of the audience, they formed a culture of sharing information, knowledge, and reflection about tradition/folk/culture through comments. This corresponds to classical and modern dialogue through the webtoon. The viewers form a sympathetic bond, attempt hermeneutical coordination, supplement the information, and search for a balanced angle through controversial conversation. In addition, by commenting on attitudes, views, and perspective, the commentators showed a behavioral pattern corresponding to meta-criticism in literature. The viewers' comments acted as feedback on the creation of the webtoons, so that the creation and acceptance itself influenced the production of the content of the webtoon. The webtoon Princess Pari, which was based on Korean classical narrative, has been reorganized onto 'moving and dynamic' content, which leads to sense, thinking, criticism and reflection through the formation of various dialogues.

When Brand Activism Advertising Campaign Goes Viral: An Analysis of Always #LikeAGirl Video Networks on YouTube

  • Lee, Mina;Yoon, Hye Jin
    • International Journal of Advanced Culture Technology
    • /
    • v.8 no.2
    • /
    • pp.146-158
    • /
    • 2020
  • As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying (간호사의 직장 내 괴롭힘 관련 온라인 뉴스기사 댓글에 대한 토픽 모델링 분석)

  • Kang, Jiyeon;Kim, Soogyeong;Roh, Seungkook
    • Journal of Korean Academy of Nursing
    • /
    • v.49 no.6
    • /
    • pp.736-747
    • /
    • 2019
  • Purpose: This study aimed to explore public opinion on workplace bullying in the nursing field, by analyzing the keywords and topics of online news comments. Methods: This was a text-mining study that collected, processed, and analyzed text data. A total of 89,951 comments on 650 online news articles, reported between January 1, 2013 and July 31, 2018, were collected via web crawling. The collected unstructured text data were preprocessed and keyword analysis and topic modeling were performed using R programming. Results: The 10 most important keywords were "work" (37121.7), "hospital" (25286.0), "patients" (24600.8), "woman" (24015.6), "physician" (20840.6), "trouble" (18539.4), "time" (17896.3), "money" (16379.9), "new nurses" (14056.8), and "salary" (13084.1). The 22,572 preprocessed key words were categorized into four topics: "poor working environment", "culture among women", "unfair oppression", and "society-level solutions". Conclusion: Public interest in workplace bullying among nurses has continued to increase. The public agreed that negative work environment and nursing shortage could cause workplace bullying. They also considered nurse bullying as a problem that should be resolved at a societal level. It is necessary to conduct further research through gender discrimination perspectives on nurse workplace bullying and the social value of nursing work.

Teachers' Perception and Attitude on Corporal Punishment : Application of Qualitative Content Analysis Method (체벌에 관한 교사들의 인식과 태도 : 질적 내용분석)

  • Choi, Tae-Jin
    • Journal of Fisheries and Marine Sciences Education
    • /
    • v.25 no.2
    • /
    • pp.375-392
    • /
    • 2013
  • The This study attempted to analyze what perception and attitude teachers have on corporal punishment. For these purpose, 458 writings about corporal punishment that 140 teachers loaded on web-site were collected and were analyzed using qualitative content analysis. : First, each writing was open-coded according to specific theme or meaning relating to corporal punishment using Nvivo program. Second, coded materials were classified as a high category when having similar theme or meaning. As a result of this process, 2 highest categories, 6 high categories and 24 subcategories were yielded. Teachers with positive view on corporal punishment tend to think that corporal punishment has some educational values or usefulness and their views were classified as very positive view, limited-permissive view, and inevitable view. They thought that corporal punishment were closely related to teachers' authority. Teachers have negative views on corporal punishment on the basis that corporal punishment causes side effects, is contrary to essentials of education, violates human rights etc. Negative views that teachers have on corporal punishment were classified as absolutely negative view and negative view focused on side effects. They thought that corporal punishment were not related to teachers' authority. Comments have been made on positive view on corporal punishment from the perspective of reflective analysis and implications of the results on theory and practice were discussed with comments on research limitations.

Emerging Gender Issues in Korean Online Media: A Temporal Semantic Network Analysis Approach

  • Lee, Young-Joo;Park, Ji-Young
    • Journal of Contemporary Eastern Asia
    • /
    • v.18 no.2
    • /
    • pp.118-141
    • /
    • 2019
  • In South Korea, as awareness of gender equality increased since the 1990s, policies for gender equality and social awareness of equality have been established. Until recently, however, the gap between men and women in social and economic activities has not reached the globally desired level and led to social conflict throughout the country. In this study, we analyze the content of online news comments to understand the public perception of gender equality and the details of gender conflict and to grasp the emergence and diffusion process of emerging issues on gender equality. We collected text data from the online news that included the word 'gender equality' posted from January 2012 to June 2017 and also collected comments on each selected news item. Through text mining and the temporal semantic network analysis, we tracked the changes in discourse on gender equality and conflict. Results revealed that gender conflicts are increasing in the online media, and the focus of conflict is shifting from 'position and role inequality' to 'opportunity inequality'.

A Sentiment Classification Approach of Sentences Clustering in Webcast Barrages

  • Li, Jun;Huang, Guimin;Zhou, Ya
    • Journal of Information Processing Systems
    • /
    • v.16 no.3
    • /
    • pp.718-732
    • /
    • 2020
  • Conducting sentiment analysis and opinion mining are challenging tasks in natural language processing. Many of the sentiment analysis and opinion mining applications focus on product reviews, social media reviews, forums and microblogs whose reviews are topic-similar and opinion-rich. In this paper, we try to analyze the sentiments of sentences from online webcast reviews that scroll across the screen, which we call live barrages. Contrary to social media comments or product reviews, the topics in live barrages are more fragmented, and there are plenty of invalid comments that we must remove in the preprocessing phase. To extract evaluative sentiment sentences, we proposed a novel approach that clusters the barrages from the same commenter to solve the problem of scattering the information for each barrage. The method developed in this paper contains two subtasks: in the data preprocessing phase, we cluster the sentences from the same commenter and remove unavailable sentences; and we use a semi-supervised machine learning approach, the naïve Bayes algorithm, to analyze the sentiment of the barrage. According to our experimental results, this method shows that it performs well in analyzing the sentiment of online webcast barrages.