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A Study on Development of Patent Information Retrieval Using Textmining (텍스트 마이닝을 이용한 특허정보검색 개발에 관한 연구)

  • Go, Gwang-Su;Jung, Won-Kyo;Shin, Young-Geun;Park, Sang-Sung;Jang, Dong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.8
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    • pp.3677-3688
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    • 2011
  • The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

Web Site Keyword Selection Method by Considering Semantic Similarity Based on Word2Vec (Word2Vec 기반의 의미적 유사도를 고려한 웹사이트 키워드 선택 기법)

  • Lee, Donghun;Kim, Kwanho
    • The Journal of Society for e-Business Studies
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    • v.23 no.2
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    • pp.83-96
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    • 2018
  • Extracting keywords representing documents is very important because it can be used for automated services such as document search, classification, recommendation system as well as quickly transmitting document information. However, when extracting keywords based on the frequency of words appearing in a web site documents and graph algorithms based on the co-occurrence of words, the problem of containing various words that are not related to the topic potentially in the web page structure, There is a difficulty in extracting the semantic keyword due to the limit of the performance of the Korean tokenizer. In this paper, we propose a method to select candidate keywords based on semantic similarity, and solve the problem that semantic keyword can not be extracted and the accuracy of Korean tokenizer analysis is poor. Finally, we use the technique of extracting final semantic keywords through filtering process to remove inconsistent keywords. Experimental results through real web pages of small business show that the performance of the proposed method is improved by 34.52% over the statistical similarity based keyword selection technique. Therefore, it is confirmed that the performance of extracting keywords from documents is improved by considering semantic similarity between words and removing inconsistent keywords.

Factors Influencing Chinese Customers' Selection of Health Care Service Countries: Focusing on Word-of-Mouth Moderating Effects (중국고객 해외의료관광국가 선택의도에 영향을 미치는 요인에 관한 연구: 구전 조절효과를 중심으로)

  • Zhang, Jun;Lee, Hoon-Young
    • Journal of Distribution Science
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    • v.13 no.12
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    • pp.41-52
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    • 2015
  • Purpose - Given globalization, the new niche market of medical tourism is likely to experience sustainable growth for various reasons, such as aging populations and a shift in the medical consumerism paradigm toward prevention. Importantly, understanding medical customers' behavior is necessary to benefit from a competitive advantage in this industry. The existing research primarily accessed the key factors of medical quality and costs to explain health customers' behavior but is limited in terms of enabling an understanding of the decision process. This limitation exists because, given the intangibility and greater associated risks in the highly professional industry of international medical tourism, most customers lack the knowledge and experience needed to evaluate the central factors-such as the medical competence of health care countries-before purchases. Therefore, they actively search for useful information through various distributions to reduce uncertainty and to make better choices. Interestingly, most of these information channels are associated with word-of-mouth (WOM). However, no evidence is found in the literature to estimate the effect of WOM in the medical tourism field. Thus, this study focuses on WOM to explore its interaction with key medical characteristic factors and the attractiveness of destinations referred to by sources. This study also affects customers' evaluations and, in turn, influences their intention to seek health care services abroad. Research design, data, and methodology - The literature review addressed an interesting research model for estimating the relations among WOM, medical characteristics, attractiveness, and customers' choice intention regarding international health care. In the key economic regions in China, such as Beijing, Shanghai, Jiangsu, Shandong, and Guangdong, 2,500 survey questionnaires were distributed to potential customers of different ages, education, and income levels. A resulting 1,717 (68.68 percent of the original 2,500) usable surveys were obtained for analysis. Moderated regression analysis was used to determine the effects of WOM in the decision process regarding international health care destinations. Results - The results indicate that WOM is a good moderator of the relationships between the factors evaluated by sources and customers. More importantly, the WOM effects reflect the factors of tie strength, credibility, and vividness. The results also reveal that, given the moderating role of WOM, the intention of potential Chinese customers to seek the referred health care country varies according to the medical characteristics of medical competency and reputation as evaluated by customers. In contrast, the travel attractiveness of the attractions, facilities, accessibility, and social environment are critical determinants of destination choice intention. Conclusions - The moderating role of WOM has been confirmed through the international healthcare destination selection process. Medical tourism managers should user WOM as an effective marketing tool for industry development. Specially, marketers should consider the effects of WOM determinants, such as tie strength, credibility, and vividness, to develop an effective strategy. Furthermore, this study estimates the factors that affect customers' selection of medical tourism destinations. Health care managers or policy makers should consider a broad variety of variables that may attract more Chinese customers to international health care.

A Study on the Changes in Perspectives on Unwed Mothers in S.Korea and the Direction of Government Polices: 1995~2020 Social Media Big Data Analysis (한국미혼모에 대한 관점 변화와 정부정책의 방향: 1995년~2020년 소셜미디어 빅데이터 분석)

  • Seo, Donghee;Jun, Boksun
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.305-313
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    • 2021
  • This study collected and analyzed big data from 1995 to 2020, focusing on the keywords "unwed mother", "single mother," and "single mom" to present appropriate government support policy directions according to changes in perspectives on unwed mothers. Big data collection platform Textom was used to collect data from portal search sites Naver and Daum and refine data. The final refined data were word frequency analysis, TF-IDF analysis, an N-gram analysis provided by Textom. In addition, Network analysis and CONCOR analysis were conducted through the UCINET6 program. As a result of the study, similar words appeared in word frequency analysis and TF-IDF analysis, but they differed by year. In the N-gram analysis, there were similarities in word appearance, but there were many differences in frequency and form of words appearing in series. As a result of CONCOR analysis, it was found that different clusters were formed by year. This study confirms the change in the perspective of unwed mothers through big data analysis, suggests the need for unwed mothers policies for various options for independent women, and policies that embrace pregnancy, childbirth, and parenting without discrimination within the new family form.

Whose Opinion Matters More? A Study on the Effect of Contradictory Word of Mouth on the Intention of Purchase (온라인 구전이 구매의도에 미치는 영향: 정보원 유형간 구전방향의 불일치성을 중심으로)

  • Soo ji Kim;Bumsoo Kim
    • Knowledge Management Research
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    • v.25 no.2
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    • pp.115-134
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    • 2024
  • In an age where consumers can easily search and pass on their opinions of products and purchasing decisions through the internet, Electronic-word-of-mouth(Ewom) plays an important role in decision making of other potential customers. In this study, we empirically analyze the impact EWOM on consumer purchase decisions, when contradictory Ewom is presented from varying sources of information, such as experts and general consumers. First, we find that when there is a consensus among different information sources there exists a positive relationship between Ewom sentiment and purchase intent, confirming the results of previous literature. However, when expert opinion and consumer opinion do not match we find that consumer opinion is more impactful on purchasing decisions compared to the expert opinion, regardless of product types. The findings of this study add insight to the current literature by examining the effect of contradictory Ewom on purchase decisions, and also to industry marketers by presenting a more efficient strategy in promoting positive Ewom for different product types.

A Study on the Critical Success Factors of Social Commerce through the Analysis of the Perception Gap between the Service Providers and the Users: Focused on Ticket Monster in Korea (서비스제공자와 사용자의 인식차이 분석을 통한 소셜커머스 핵심성공요인에 대한 연구: 한국의 티켓몬스터 중심으로)

  • Kim, Il Jung;Lee, Dae Chul;Lim, Gyoo Gun
    • Asia pacific journal of information systems
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    • v.24 no.2
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    • pp.211-232
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    • 2014
  • Recently, there is a growing interest toward social commerce using SNS(Social Networking Service), and the size of its market is also expanding due to popularization of smart phones, tablet PCs and other smart devices. Accordingly, various studies have been attempted but it is shown that most of the previous studies have been conducted from perspectives of the users. The purpose of this study is to derive user-centered CSF(Critical Success Factor) of social commerce from the previous studies and analyze the CSF perception gap between social commerce service providers and users. The CSF perception gap between two groups shows that there is a difference between ideal images the service providers hope for and the actual image the service users have on social commerce companies. This study provides effective improvement directions for social commerce companies by presenting current business problems and its solution plans. For this, This study selected Korea's representative social commerce business Ticket Monster, which is dominant in sales and staff size together with its excellent funding power through M&A by stock exchange with the US social commerce business Living Social with Amazon.com as a shareholder in August, 2011, as a target group of social commerce service provider. we have gathered questionnaires from both service providers and the users from October 22, 2012 until October 31, 2012 to conduct an empirical analysis. We surveyed 160 service providers of Ticket Monster We also surveyed 160 social commerce users who have experienced in using Ticket Monster service. Out of 320 surveys, 20 questionaries which were unfit or undependable were discarded. Consequently the remaining 300(service provider 150, user 150)were used for this empirical study. The statistics were analyzed using SPSS 12.0. Implications of the empirical analysis result of this study are as follows: First of all, There are order differences in the importance of social commerce CSF between two groups. While service providers regard Price Economic as the most important CSF influencing purchasing intention, the users regard 'Trust' as the most important CSF influencing purchasing intention. This means that the service providers have to utilize the unique strong point of social commerce which make the customers be trusted rathe than just focusing on selling product at a discounted price. It means that service Providers need to enhance effective communication skills by using SNS and play a vital role as a trusted adviser who provides curation services and explains the value of products through information filtering. Also, they need to pay attention to preventing consumer damages from deceptive and false advertising. service providers have to create the detailed reward system in case of a consumer damages caused by above problems. It can make strong ties with customers. Second, both service providers and users tend to consider that social commerce CSF influencing purchasing intention are Price Economic, Utility, Trust, and Word of Mouth Effect. Accordingly, it can be learned that users are expecting the benefit from the aspect of prices and economy when using social commerce, and service providers should be able to suggest the individualized discount benefit through diverse methods using social network service. Looking into it from the aspect of usefulness, service providers are required to get users to be cognizant of time-saving, efficiency, and convenience when they are using social commerce. Therefore, it is necessary to increase the usefulness of social commerce through the introduction of a new management strategy, such as intensification of search engine of the Website, facilitation in payment through shopping basket, and package distribution. Trust, as mentioned before, is the most important variable in consumers' mind, so it should definitely be managed for sustainable management. If the trust in social commerce should fall due to consumers' damage case due to false and puffery advertising forgeries, it could have a negative influence on the image of the social commerce industry in general. Instead of advertising with famous celebrities and using a bombastic amount of money on marketing expenses, the social commerce industry should be able to use the word of mouth effect between users by making use of the social network service, the major marketing method of initial social commerce. The word of mouth effect occurring from consumers' spontaneous self-marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers; in this context, the word of mouth effect should be managed as the CSF of social commerce. Third, Trade safety was not derived as one of the CSF. Recently, with e-commerce like social commerce and Internet shopping increasing in a variety of methods, the importance of trade safety on the Internet also increases, but in this study result, trade safety wasn't evaluated as CSF of social commerce by both groups. This study judges that it's because both service provider groups and user group are perceiving that there is a reliable PG(Payment Gateway) which acts for e-payment of Internet transaction. Accordingly, it is understood that both two groups feel that social commerce can have a corporate identity by website and differentiation in products and services in sales, but don't feel a big difference by business in case of e-payment system. In other words, trade safety should be perceived as natural, basic universal service. Fourth, it's necessary that service providers should intensify the communication with users by making use of social network service which is the major marketing method of social commerce and should be able to use the word of mouth effect between users. The word of mouth effect occurring from consumers' spontaneous self- marketer's duty performance can bring not only reduction effect in advertising cost to a service provider but it can also prepare the basis of discounted price suggestion to consumers. in this context, it is judged that the word of mouth effect should be managed as CSF of social commerce. In this paper, the characteristics of social commerce are limited as five independent variables, however, if an additional study is proceeded with more various independent variables, more in-depth study results will be derived. In addition, this research targets social commerce service providers and the users, however, in the consideration of the fact that social commerce is a two-sided market, drawing CSF through an analysis of perception gap between social commerce service providers and its advertisement clients would be worth to be dealt with in a follow-up study.

1-Pass Semi-Dynamic Network Decoding Using a Subnetwork-Based Representation for Large Vocabulary Continuous Speech Recognition (대어휘 연속음성인식을 위한 서브네트워크 기반의 1-패스 세미다이나믹 네트워크 디코딩)

  • Chung Minhwa;Ahn Dong-Hoon
    • MALSORI
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    • no.50
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    • pp.51-69
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    • 2004
  • In this paper, we present a one-pass semi-dynamic network decoding framework that inherits both advantages of fast decoding speed from static network decoders and memory efficiency from dynamic network decoders. Our method is based on the novel language model network representation that is essentially of finite state machine (FSM). The static network derived from the language model network [1][2] is partitioned into smaller subnetworks which are static by nature or self-structured. The whole network is dynamically managed so that those subnetworks required for decoding are cached in memory. The network is near-minimized by applying the tail-sharing algorithm. Our decoder is evaluated on the 25k-word Korean broadcast news transcription task. In case of the search network itself, the network is reduced by 73.4% from the tail-sharing algorithm. Compared with the equivalent static network decoder, the semi-dynamic network decoder has increased at most 6% in decoding time while it can be flexibly adapted to the various memory configurations, giving the minimal usage of 37.6% of the complete network size.

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Analysis of the Obesity-Related Research for Each Constituent Herb of Euiiin-tang (의이인탕 구성약물의 비만관련 연구 분석)

  • Song, Yun-Kyung;Cha, Yun-Yeop;Ko, Seong-Gyu
    • Journal of Korean Medicine for Obesity Research
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    • v.14 no.2
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    • pp.72-79
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    • 2014
  • The purpose of this study is analyzed of exploratory research potential as anti-obesity agents of Euiiin-tang. Four Korean databases and 2 Korean Journals (Riss4U, KISS, OASIS, DBPIA, and Journal of Korean Rehabilitation Medicine, Journal of Korean Medicine of Obesity Research) were searched using search word 'individual herbs' and 'obesity', 'weight loss', 'fat', 'hypertension', 'hyperlipidemia', 'diabetes'. Clinical and Experimental Research published in the journal were analyzed, review research, studies of pharmacopunctures and studies of mixed herbal medicine were excluded. We collected 23 studies. Seven studies of Coicis Semen, 10 stdies of Ephedra Herba, 2 study of Angelica gigas Nakai, 3 studies Atractylodis Rhizoma Alba, 1 studies of Glycyrrhiza inflata Batal. Most studies were experiment researches which were composed of in vivo or in vitro, and clinical trial was 5 studies of Ephedra Herba. Main constituent herb, Coicis Semen, Ephedra Herba were thought to represent an anti-obesity effect. Through the result, we can assume to be likely effect of Euiiin-tang as obesity medicine.

A Study of Card News on Instagram (인스타그래머블 카드뉴스 연구)

  • Kim, Saenanseul;Kim, Dongwhan
    • Journal of Korea Multimedia Society
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    • v.23 no.8
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    • pp.1049-1058
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    • 2020
  • 'Instagrammable' is a new term which means a photo or a series of pictures are worth posting on Instagram. Since Instagram is an image-oriented social media platform, it is important to give users proper awareness through images in order to be an instagrammable post. In this study, we explored the proper delivery method of messages within instagrammable posts through the use of hashtags(#). Specifically, we paid attention to the use of 'Card News', which involves a series of images that form a short narrative. Hashtags play an important role that they often describe sharing intention of the post, and we found analyzing the use of hashtags in Card News posts is a good indicator of users' Instagram activities. Currently, there are more than 580k posts are found with the search keyword Card News, and the number is increasing. In this study, we collected and analyzed more than 50k hashtags on Instagram to explore how news stories are posted from both the general users and news media accounts. Furthermore, we conducted interviews with journalists to analyze how news media are making use of Instagram as a legitimate place to share news stories with impact.

Systemic Review : The Study on Missed Abortion (Pub Med 검색을 통한 계류유산의 최신 연구에 대한 고찰)

  • Park, Chan-Soo;Jung, Min-Yung;Sohn, Young-Joo
    • The Journal of Korean Obstetrics and Gynecology
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    • v.20 no.4
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    • pp.160-174
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    • 2007
  • Purpose: The purpose of this study was to investigate about missed abortion pathophysiology, diagnosis, medical treatment and to research the trend of the study related to missed abortion. Methods: We referred a PubMed site by using search word of "missed abortion"(Limits: 3 Year, only items with abstracts, Human). Results: 37 journals with 49 papers were searched. Conclusion: 1. The study of missed abortion pathophysiology was the following. The first was that important pathologies such as molar pregnancy and placental trophoblastic disease can be diagnosed by routine histopathologic analysis of product of conception following first-trimester spontaneous miscarriages. The second was that coelomic fluid leptin concentration in missed abortion is higher than in normal. The third was that adenosine deaminae activity in serum and placenta of patients with anembryonic pregnancies and missed abortions was low. The forth was that Leptotrichia amnionii sp. nov. was the etiopathogenetic factor in missed abortion. 2. Transvaginal ultrasound assessment of irregular vaginal bleeding is effective in diagonosis of missed abortion. 3. There were medical therapy with misoprostol, mifepristone or anti progesterone for missed abortion. Misoprostol was administrated oral(sublingual) and vaginal.

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