• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.363-384
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• 2024

This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.99-118
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• 2014

This paper carried out co-word analysis of noun and noun phrase using text-mining technique in order to grasp the research trends on domestic and international information science articles. It was conducted based on collected titles and articles of the papers published in the Journal of the Korean Society for Information Management (KOSIM) and Journal of American Society for Information Science and Technology (JASIST) from 1990 to 2013. By dividing whole period into five publication window, this paper was organized into the following processes: 1) analysis of high frequency co-word pair to examine the overall trends of both information science articles 2) analysis of each word appearing with high frequency keyword to grasp the detailed subject 3) focused network analysis of trend after 2010 when distinctively new keyword appeared. The result of the analysis shows that KOSIM has considerable portion of studies conducted regarding topics such as library, information service, information user and information organization. Whereas, JASIST has focused on studies regarding information retrieval, information user, web information, and bibliometrics.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.161-167
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• 2018

The purpose of this study is to investigate how the advertising campaign is spreading in social networks, and how the advertising model plays an important role in advertisement diffusion. In order to grasp the diffusion patterns of advertising, a text mining and social network analysis were conducted using the beer brand 'Kloud' as a collection keyword. After analyzing the social data for two months since the on-air of 'Good Body' advertisement, which was the first ad that "Sulhyun" appeared in. After the launch of the ad, Kloud has been mainly associated with keywords such as 'yavis & trendy style', 'beer brand', 'beer matching food', 'luxury beer drinking place', 'leisure trend', and 'SNS activity', etc. In addition, "Sul Hyun" also showed that an advertising model contributes to the spread of advertisement on social media in terms of image transition as well as brand's name and unique selling point.

• Archives of design research
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• v.16 no.4
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• pp.121-128
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• 2003

This is the research to find out which one is the best for using manual among the 3 kinds of methods such as 'Text manual' and 'Animation I' and 'Animation II' which is made by Virtual Realities. Three kinds of methods have been experimented respectively. The manual for 'Animation I' adopt the motion video with basis sound and the additional comment and sound is added on the 'Animation II'. Every 3 manual has been studied and estimated by T-test and additional subjective estimation respectively, and the conclusions are as follows. The 1st answer is that 'Animation manual' is more easier than 'text manual', and the 2nd answer is that 'Animation II' is easier than 'Animation I'. Through post-interview and test, It is known that the animation manuals, which has been showing the multimedia, is more attractive than text manual.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.132-139
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• 2013

This research considered the aesthetic factors of the Korean style superhero film through the analysis of text of . Basically, the various elements including the structure of the story, characters, mise en scene, and etc. are included in the aesthetic factors. Therefore, in this research, the organization of other aesthetic elements and characteristics including the characters and mise en scene, and etc. were analyze based upon the first analysis about the structure of . And the theoretical backgrounds for the research were 'The Poetics' of Aristotle. The reason why this movie selects the movie as the research text specially was that had the plot and genre style compared with the existing Hollywood superhero film. Consequently, the research could find the communities and differences for the aesthetic features between Hollywood superhero film and .

• Archives of design research
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• v.14 no.4
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• pp.25-33
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• 2001

With the increasing access to the internet, the number of designers who rely on internet to use information on design is on the rise. Therefore common dictionary of design terminology need to be formed and shared among designers. To do so, internet is very useful medium. However as relating terminology increases rapidly through interactivity among designers, it will be far from taking full advantage of features of internet to set up and provide such information unilaterally on internet. This indicates that providing data on the internet, not via traditional books, requires in-depth study on process of establishment of database structure and appropriate interface design. Thus this study will show design terms database model that harnesses internet feature that enables establishment of information spontaneously through user's interactivity, departing from a model that conveys information unilaterally. This report summarized and analyzed various models and suggested classification system in accordance with user's learning cognition. Problems on existing dictionary of design terminology were identified and new methods addressing such problems were exploited. In a word, this report is intended to propose user oriented inter-constructive database model that highlights high level of openness and interactivity by enabling changes of text in the cyber space and encouraging user to participate in making design dictionary.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1419-1425
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• 2017

The ultimate goal of legal knowledge search is to obtain optimal legal information based on laws and precedent. Text mining research is actively being undertaken to meet the needs of efficient retrieval from large scale data. A typical method is to use a word embedding algorithm based on Neural Net. This paper demonstrates how to search relevant information, applying Korean law information to word embedding. First, we extracts reference laws from precedents in order and takes reference laws as input of Law2Vec. The model learns a law by predicting its surrounding context law. The algorithm then moves over each law in the corpus and repeats the training step. After the training finished, we could infer the relationship between the laws via the embedding method. The search performance was evaluated based on precision and the recall rate which are computed from how closely the results are associated to the search terms. The test result proved that what this paper proposes is much more useful compared to existing systems utilizing only keyword search when it comes to extracting related laws.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.299-312
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• 2019

This study examined the effect of media and personal frames on readers' attitude towards newspaper articles and on their perceived fairness. Study 1 examined the frame effects with the issue of the Candlelit Protest in 2008 and Study 2 did with the issue of the Four Major Rivers Restoration Project. Results indicated that in both studies two frames had main effects on readers' attitude and yet their interaction was not significant. In both studies, effects of personal frame were partially significant on the perceived fairness of the article, but main effects of media frame and interaction effects between two frames were not significant. These findings demonstrated that readers' attitude towards newspaper articles and on their perceived fairness would be influenced by their headlines and their source along with their content.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.120-126
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• 2020

With the start of the digital transformation era, many changes have been made to the corporate environment. Companies are now in a competitive environment that is different from the past. There are so many technological innovations that cannot be imagined centering around the technology related to digital transformation. Unlike the past, research on technological innovation is also proceeding much. Therefore, in this research, we searched for papers on the theme of technological innovation from 2015 to 2019, focusing on the SCOPUS database. We collected 1043 papers that provide green among the papers and analyzed them using text mining technology and LDA method. As a result of the analysis, it was clarified that research on technological innovation is continuously increasing, and it was found that research for technological innovation in various fields is being conducted. In addition to the theme of technological innovation, various keywords related to technological innovation were also derived.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.