• Asia pacific journal of information systems
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• v.33 no.2
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• pp.261-281
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• 2023

The proliferation of online customer reviews has completely changed how consumers purchase. Consumers now heavily depend on authentic experiences shared by previous customers. However, deceptive reviews that aim to manipulate customer decision-making to promote or defame a product or service pose a risk to businesses and buyers. The studies investigating consumer perception of deceptive reviews found that one of the important cues is based on review content. This study aims to investigate the impact of the information amount of review on the review truthfulness. This study adopted the Information Manipulation Theory (IMT) as an overarching theory, which asserts that the violations of one or more of the Gricean maxim are deceptive behaviors. It is regarded as a quantity violation if the required information amount is not delivered or more information is delivered; that is an attempt at deception. A topic modeling algorithm is implemented to reveal the distribution of each topic embedded in a text. This study measures information amount as topic diversity based on the results of topic modeling, and topic diversity shows how heterogeneous a text review is. Two datasets of restaurant reviews on Yelp.com, which have Filtered (deceptive) and Unfiltered (genuine) reviews, were used to test the hypotheses. Reviews that contain more diverse topics tend to be truthful. However, excessive topic diversity produces an inverted U-shaped relationship with truthfulness. Moreover, we find an interaction effect between topic diversity and reviews' ratings. This result suggests that the impact of topic diversity is strengthened when deceptive reviews have lower ratings. This study contributes to the existing literature on IMT by building the connection between topic diversity in a review and its truthfulness. In addition, the empirical results show that topic diversity is a reliable measure for gauging information amount of reviews.

• The Journal of Korean Medical History
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• v.30 no.2
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• pp.73-81
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• 2017

This literature review focuses on external treatments for the throat, as found in the classic Korean text, Hyang-Yak-Jib-Sung-Bang Throat. Sections of the text related to external treatment of throat disorders were reviewed. Examples of frequently used external methods include gargling, application of powder, and brushing of the throat. These methods are still used in modern Korean Medicine treatments for Ear-Nose-Throat (ENT) disorders. This discussion is provided with intention to invigorate the ancient practices of throat treatments, by highlighting benefits and results of the therapeutic protocols described in Hyang-Yak-Jib-Sung-Bang Throat. Discovering new effective herbal medicines and developing more precise external treatments will advance ENT treatment in Korean medicine.

• Journal of the Korean Society for information Management
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• v.13 no.2
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• pp.39-71
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• 1996

The goal of this paper is mainly to review and summarize the multimedia information formats and technical standards that have been applied so that library and information specialists can understand them systematically. The most fundamental differences between digital library and the classic one are specified by describing the general characteristics of hypermedia information environment. With the proprietary advantages of multimedia technology to digital library developments, the core technological standards (publicly available) of text and non-text data, including multimedia data, are reviewed. Finally, it describes some important and professional perspectives and roles of library practioners as well as researchers who are engaged with the innovation of digital library.

• The Journal of Information Systems
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• v.30 no.4
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• pp.227-245
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• 2021

Purpose The purpose of this study is to examine the variables affecting user satisfaction through previous studies and to examine the differences between apps. Differences are based on factors that determine the quality of real estate service apps and derived by the topic modeling results. Design/methodology/approach This study conducts topic modeling to find factors affecting user satisfaction of real estate service apps using user reviews. Sentiment analysis is additionally conduct on the derived topics to examine the user responses. Findings Users give high sentiment scores for services that can manage factors such as usefulness of information, false sales, and hype. In addition, managing the basic services of app is an important factor influencing user satisfaction.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.663-667
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• 1999

In this paper, we review the conventional speaker verification algorithm and present the text-dependent speaker verification system for application over telephone lines and its result of experiments. We apply blind-segmentation algorithm which segments speech into sub-word unit without linguistic information to the speaker verification system for training speaker model effectively with limited enrollment data. And the World-mode] that is created from PBW DB for score normalization is used. The experiments are presented in implemented system using database, which were constructed to simulate field test, and are shown 3.3% EER.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.10a
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• pp.111-116
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• 2000

No Abstract.See Full-text

• Proceedings of the Zoological Society Korea Conference
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• 1998.10b
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• pp.88-88
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• 1998

No Abstract, See Full Text

• Review of Korea Contents Association
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• v.6 no.3
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• pp.87-93
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• 2008

• Proceedings of the Zoological Society Korea Conference
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• 1999.04a
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• pp.52.2-52
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• 1999

No Abstract, See Full Text

• Proceedings of the Zoological Society Korea Conference
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• 1997.10b
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• pp.109.2-109
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• 1997

No Abstract, See Full Text