• Title/Summary/Keyword: 텍스트 연구

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Quantifying the Process of Patent Right Quality Evaluation : Combined Application of AHP, Text Mining and Regression Analysis (특허권리성의 정량적 평가방법에 대한 연구 : AHP, 텍스트 마이닝, 회귀분석의 활용)

  • Yoon, Janghyeok;Song, Jaeguk;Ryu, Tae-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.2
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    • pp.17-30
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    • 2015
  • Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

Review of Trends in Wind Energy Research Publications in Journal of the Korean Solar Energy Society (태양에너지학회 논문집의 풍력에너지 연구동향 분석)

  • Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.40 no.4
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    • pp.1-11
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    • 2020
  • The Journal of the Korean Solar Energy Society is the first journal in South Korea that adopts wind energy as one of its subjects. Since 2000, more than 140 papers on wind energy have been published in the journal, which accounts for 8.5% of the total publication. However, in recent years, the number of published papers on wind energy has been decreasing steadily, and a reason for this decline is the significant dependence on a few specific institutions and authors. In this study, wind energy subjects were classified using the frequency analysis of the subject words extracted from the title, keywords, and abstract of wind energy papers using the text mining technique. In addition, the Korea Citation Index was used to perform quantitative level evaluation by subject and institution and to analyze the trends and characteristics of the wind energy field. Therefore, it was identified that in terms of the number of publications and citations, the main subject areas were resource/micrositing and policy/potential.

A Study on the Evaluation of Fashion Design Based on Big Data Text Analysis -Focus on Semantic Network Analysis of Design Elements and Emotional Terms- (빅데이터 텍스트 분석을 기반으로 한 패션디자인 평가 연구 -디자인 속성과 감성 어휘의 의미연결망 분석을 중심으로-)

  • An, Hyosun;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.3
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    • pp.428-437
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    • 2018
  • This study derives evaluation terms by analyzing the semantic relationship between design elements and sentiment terms in regards to fashion design. As for research methods, a total of 38,225 texts from Daum and Naver Blogs from November 2015 to October 2016 were collected to analyze the parts, frequency, centrality and semantic networks of the terms. As a result, design elements were derived in the form of a noun while fashion image and user's emotional responses were derived in the form of adjectives. The study selected 15 noun terms and 52 adjective terms as evaluation terms for men's striped shirts. The results of semantic network analysis also showed that the main contents of the users of men's striped shirts were derived as characteristics of expression, daily wear, formation, and function. In addition, design elements such as pattern, color, coordination, style, and fit were classified with evaluation results such as wide, bright, trendy, casual, and slim.

Implementation of A Multimedia Streaming System using MPEG-4 (MPEG-4 표준을 이용한 멀티미디어 스트리밍 시스템 구현)

  • 임동근;이정우;김선태;마평수;호요성
    • Journal of Broadcast Engineering
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    • v.6 no.3
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    • pp.215-224
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    • 2001
  • In recent days, research activities on multimedia services mainly focus on the multiplexing system with timing synchromization for media components, such as video, audio and text. The MPEG-4 standard emphasizes object-based coding which includes analysis and understanding of the Image content. Since in MPEG-4 we can define objects and encode them independently, we can manipulate and display each object for different applications. This feature of MPEG-4 is also vero useful for multimedia services, such as video streaming cia different network channels, digital versatile disc, internet TV, video E-mail, and so on. In this Paper, we implement a multimedia streaming system which is compliant with the MPEG-4 system and the MP4 file format.

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A research for character information extraction method on Narrative Stories (설화 스토리 내 인물정보 추출 방법에 관한 연구)

  • Ko, Byeong Kyu;Kim, Jeong In;Lee, Eun Ji;Kim, Pan Koo
    • Smart Media Journal
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    • v.5 no.2
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    • pp.59-64
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    • 2016
  • Storytelling techniques have been using for utilizing in various fields such as education, marketing and so on. In creative content sector, especially, the amount of creating the a newly story content from existing oral tales which are short and quite hard to understand the context has been increased. However, there are some limitations for creating the ideas of the story according to the expansion of the stories while the approach for new adaptation of existing stories is quite challenging. In this paper, therefore, we described the preliminary steps of text analysis and object extraction method for story development which can be applied to the storytelling authoring supported software.

Author Identification Using Artificial Neural Network (Artificial Neural Network를 이용한 논문 저자 식별)

  • Jung, Jisoo;Yoon, Ji Won
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.5
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    • pp.1191-1199
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    • 2016
  • To ensure the fairness, journal reviewers use blind-review system which hides the author information of the journal. Even though the author information is blinded, we could identify the author by looking at the field of the journal or containing words and phrases in the text. In this paper, we collected 315 journals of 20 authors and extracted text data. Bag-of-words were generated after preprocessing and used as an input of artificial neural network. The experiment shows the possibility of circumventing the blind review through identifying the author of the journal. By the experiment, we demonstrate the limitation of the current blind-review system and emphasize the necessity of robust blind-review system.

A Study on the Visual System of Object - Oriented Based on Abstract Information (객체지향을 기반으로한 추상화 정보의 시각화 시스템에 대한 연구)

  • Kim, Haeng-Kon;Han, Eun-Ju;Chung, Youn-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.10
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    • pp.2434-2444
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    • 1997
  • As software industry progresses, the necessity of visual information have increased more than text-oriented information. So, automatic tools are required to satisfy a user's desire for visual design representation of various source information in the real-world. In this paper, we discuss the methodology and tools for parsing abstract information through semantic analysis and extracting visual information through visual mapping. Namely, as to abstract informations are represented as relational structure and then mapped into visual structure using regular rule, user can obtain visual information. We suggest VOLS(Visual Object Layout System) to transform a abstract information to visual information. It can improve user understandability and assist a maintenance for existing source code.

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A Clustering Technique Using Association Rules for The Library and Information Science Terminology (연관규칙을 이용한 문헌정보학 전문용어 클러스터링 기법에 관한 연구)

  • Seung, Hyon-Woo;Park, Mi-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.37 no.2
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    • pp.89-105
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    • 2003
  • In this paper, an effective method for clustering terminologies extracted from text is proposed, in order to develope a search engine to extract relevant information from large web documents. To prevent frequency of the meaningless association rules among general terminologies, only useful association rules among terminologies are produced using database tables which consist of domain-specific terminologies. Such association rules are produced by applying the Apriori algorithm after forming transaction units from groups of association rules in a document. A group of association rules produced from a terminology forms in a cluster.

A Study on Research Trends of Age-Friendly Using Text Network Analysis : Focusing on 「The Korean Journal of Health Service Management」 (2007-2018) (텍스트 네트워크 분석을 활용한 고령친화 분야의 연구동향 분석 : 「보건의료산업학회지」 게재논문(2007~2018)을 중심으로)

  • Ko, Min-Seok
    • The Korean Journal of Health Service Management
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    • v.13 no.4
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    • pp.19-31
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    • 2019
  • Objectives: The purpose of this study was to analyze research trends in age-friendly research and suggest directions for future research. Methods: For this study, 112 articles related to age-friendly research were selected, from 605 published articles in The Korean Journal of Health Service Management (2007-2018). Content analysis and text network analysis were conducted using SPSS 23.0 and NetMiner 4. Results: First, 2 authors (30.4%) and 4 keywords (45.5%) were the most studied. Most of the studies used quantitative research (93.8%). Primary data (61.9%) and SPSS (77.7%) were the most used for analysis. Second, there were seven common keywords in the top 10 in all the centralities. They were Elderly, Geriatric Hospital, Depression, Care Workers, Long-Term Care Facilities, Experience, and Attitude. Conclusions: This study shows the need for diversity of research topics, subjects, research methods, and analytical tools in future age-friendly related studies. In addition, it suggests activating convergence research in this field linked to various industries and services.

An Automatic Text Categorization Theories and Techniques for Text Management (문서관리를 위한 자동문서범주화에 대한 이론 및 기법)

  • Ko, Young-Joong;Seo, Jung-Yun
    • Journal of Information Management
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    • v.33 no.2
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    • pp.19-32
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    • 2002
  • With the growth of the digital library and the use of Internet, the amount of online text information has increased rapidly. The need for efficient data management and retrieval techniques has also become greater. An automatic text categorization system assigns text documents to predefined categories. The system allows to reduce the manual labor for text categorization. In order to classify text documents, the good features from the documents should be selected and the documents are indexed with the features. In this paper, each steps of text categorization and several techniques used in each step are introduced.