• Journal of KIISE
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• v.42 no.4
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• pp.512-521
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• 2015

Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.73-79
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• 2013

As facilities performing the production, processing, preservation, and shipment of agricultural products; agricultural facilities are categorized into planting facilities and livestock facilities based on the management target. Agricultural facilities are set in farmlands, and facility users mainly complain about the legal or institutional restrictions on farm rather than their own facilities itself. From 2009 to 2012, the Ministry of Agriculture Food and Rural Affairs (MAFRA) published the "Casebook of farmer Complaints on Farmlands" in order to help answer farmers' questions and support public workers' workloads. However, contents related to agricultural facility installed in farmland are currently not dealt with in particular. Among agricultural facilities, demands of property rights with livestock facilities have risen due to construction permissions, operational restrictions, and high initial investment costs; and relevant laws were revised and are now being executed. However, for planting facilities such as mushroom facilities, ginseng facilities, and greenhouses; farmer complaints related to property rights are constantly increasing because revisions to relevant laws are not being made despite the rising diversity of construction materials through technical developments as well as the rising scale of assets-i.e. mechanization, automation, and the application of New Regeneration Energies according to capital influx. In this study, the current state of relevant agricultural facility legislation were organized and their drawbacks deduced in order to propose improvements of Agricultural Facility Legislation. The result of interviewing with public workers and farmers show that agricultural facilities should be regarded as extensions of farmlands rather than as facilities built in land where development actions were being taken. Alternatives able to reflect these opinions were suggested through expert consultation.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.113-125
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• 2017

This study focused on the difference between the volume of rumors and types of rumors via social media based on case studies and network analysis. Rumors are classified into core statement, peripheral statement, core gossip, and peripheral gossip based on their factuality and influence. The diffusion of opinions via social media is classified into dispersive mob, solid mob, dispersive minority, and solid minority based on the volume of node and its interactivity. The results of this study show that, core gossip is actively dispersed. Users are more interested in the influence of rumor than in rumors that appear the be factual. This study highlighted what the role of government when rumor is diffusing and in the aspect of message what the characteristic of rumor.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.127-138
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• 2013

The age of social network has arrived. Social media is the various online media for sharing of opinions and experiences and open for internet users' participation. As the new communication tools, social media has been in the limelight, threatening the traditional media as alternative media. In globalization, country image is seen as the source of competitiveness of a country. The goal of this study is to examine what impact does the utilization of social media has on country image, and we conducted our analysis in two aspects of social media utilization, usage volume and usage diversity. In addition, we examined the impact of factors that form the country image on purchase intention. The analytical results show that media usage volume positively affects country image, people image, political image and media usage diversity has significant effects on economical image, people image and political image.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.427-433
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• 2017

Mobile game users tend to value the opinions from their friends or SNS when making a decision on which game to play. This is because they are not satisfied with the information on suggestions provided by the conventional mobile game recommendation systems. In this research, we made a system that can reflect user preference directly by using Analytic Hierarchy Process(AHP). In the system, the hierarchy of AHP is composed of final goal(Level 1), evaluation basis(Level 2) and alternative(Level 3). And the system is made up of an input module, an AHP processing module, a recommendation module and database. Through comparison analysis with two conventional systems to test the performance of the system, we could find that the system got more higher satisfaction than the other systems.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.1-23
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• 2008

Nowadays blogging is emerging as a new way of building human-to-human relationship by offering personal information and sharing opinions with others on their own initiatives. These blogging activities would be also useful when people are in a movement surrounding lots of objects, such as products and shops, which are potentially interesting to them. However, immediate response from the objects is not available using legacy blogging systems. This is mainly due to the segregation of the blogging content owners from the objects. This paper, hence, aims to propose a methodology which allows the users to directly communicate with the objects in a timely and context-aware manner, not the object owners, to get useful information or get served immediately. To do so, the concept of artificial bloggers which work on behalf of the objects and eventually the object owners is proposed. The functionalities of u-Blogging are also introduced with prototype system.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.2
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• pp.111-134
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• 2015

This research was initiated on the basis that public libraries should serve its role as a supplier of intellectual informations to all users and the National Library of Korea should play a role as chief supporter of collection preservation in individual libraries. Situated in such context, this study attempted to investigate several aspects of the present conditions of Korea public libraries, including the current technical ability and technicians available for materials preservation and restoration, current policies for preservation and provisions for disasters, and opinions on establishment of national library preservation and restoration center. Data was drawn from a survey with 208 public libraries in the country. As a conclusion, this study discusses such as 1) securing collection management policies for material preservations and restorations at the level of individual libraries 2) building tripartite system for efficient and methodical material preservations and restorations including public libraries, regional central libraries and the National Library of Korea.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.3
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• pp.157-180
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• 2013

With increasing interest in content marketing, SNS (social networking services) has become more popular as a method of library marketing, both at home and abroad. Accordingly, this study analyzed the operational status and problems of library SNS marketing, in an attempt to find ways to optimize its use. Results show that librarians' opinions of library marketing and library SNS marketing were very high, but the problems they faced included a lack of human resources dedicated to marketing, lack of marketing education, a lack of content to upload each week, and low numbers of contacts on social networking sites. To further develop and optimize library SNS marketing, five solutions were suggested based on the survey results: first, composing an intensive managing team for effective SNS operation; second, providing different levels of marketing training to decrease the librarians' mistakes; third, updating data continuously; fourth, providing information and services users need; and lastly, clearly identifying each channel's active operation goals.

• Human Ecology Research
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• v.58 no.4
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• pp.613-633
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• 2020

This study identifies consumers' perceived benefits and costs when using Samsung Health (a healthcare app) based on consumer reviews from Google Play Store's app and social media discourse. We examine the differences in the benefits and the costs of Samsung Health using these two sources of data. We conducted text frequency analysis, clustering analysis, and semantic network analysis using R programming. The major findings are as follows. First, consumers experience benefits and costs on several functions of the app, such as step counting, device interlocking, information acquisition, and competition with global consumers. Second, the results of semantic network analysis showed that there were eight benefit factors and three cost factors. We also found that the three costs correspond to the benefits, indicating that some consumers gained benefits from certain functions while others gained costs from the same functions. Third, the comparison between consumer app review and social media discourse showed that the former is appropriate to assess the performance of app functions, while the latter is appropriate to examine how the app is used in daily life and how consumers feel about it. The current study suggests managerial implications to healthcare app service providers regarding what they should strengthen and improve to enhance consumers' satisfaction. It also suggests some implications from the two media, which can be mutually complementary, for researchers who study consumer opinions.

• The KIPS Transactions:PartB
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• v.16B no.1
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• pp.55-62
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• 2009

Collaborative filtering is a popular technique that recommends items based on the opinions of other people in recommender systems. Memory-based collaborative filtering which uses user database can be divided in user-based approaches and item-based approaches. User-based collaborative filtering predicts a user's preference of an item using the preferences of similar neighborhood, while item-based collaborative filtering predicts the preference of an item based on the similarity of items. This paper proposes a combined forecast scheme that predicts the preference of a user to an item by combining user-based prediction and item-based prediction using the ratio of the number of similar users and the number of similar items. Experimental results using MovieLens data set and the BookCrossing data set show that the proposed scheme improves the accuracy of prediction for movies and books compared with the user-based scheme and item-based scheme.