• Title/Summary/Keyword: 텍스트시각화

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Visualization of COVID-19 data (코로나19 데이터의 시각화)

  • Kim, Sun-Ok;Kim, Hye-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.149-152
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    • 2021
  • 본 논문은 실시간 코로나-19 전국 확진자 수를 이용하여 데이터를 추출하고 분리하여 시각적으로 표현했다. 추출된 데이터를을 각 지역에 따라 구분하고 전국 지도에 확진자 수를 표시하여 보기 쉽게 나타냈다. 확진자의 경로는 코로나-19 데이터에서 사후 관리를 위해 가장 중요한 데이터이다. 따라서 확진자의 경로는 정부에서 실시간으로 제공되고 있다. 하지만 이러한 데이터는 텍스트 형태로 되어있어 보기에 불편하다. 따라서 본 논문은 확진자 데이터를 분석하고 정리하여 지도에 표시하고자 한다. 이러한 시각화 방법은 확진자의 경로를 쉽게 파악 할 수 있고 감염 경로를 미리 예방 할 수 있게 한다.

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Building Modeling for Unstructured Data Analysis Using Big Data Processing Technology (빅데이터 처리 기술을 활용한 비정형데이터 분석 모델링 구축)

  • Kim, Jung-Hoon;Kim, Sung-Jin;Kwon, Gi-Yeol;Ju, Da-Hye;Oh, Jae-Yong;Lee, Jun-Dong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.253-255
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    • 2020
  • 기업 및 기관 데이터는 워드프로세서, 프레젠테이션, 이메일, open api, 엑셀, XML, JSON 등과 같은 텍스트 기반의 비정형 데이터로 구성되어 있습니다. 텍스트 마이닝(Textmining)을 통해서 자연어 처리 및 기계학습 등의 기술을 이용하여 정보의 추출부터 요약·분류·군집·연관도 분석 등의 과정을 수행울 진행한다. 다양한 시각화 데이터를 보여줄 수 있는 다양한 모델 구축을 진행한 후 민원 신청 내용을 분석 및 변환 작업을 진행한다. 본 논문은 AI 기술과 빅데이터를 활용하여 민원을 분석을 하여 알맞은 부서에 민원을 자동으로 할당해 주는 기술을 다룬다.

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A Usability Evaluation on the Visualization of Information Extraction Output (정보추출결과의 시각화 표현방법에 관한 이용성 평가 연구)

  • Lee Jee-Yeon
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.2
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    • pp.287-304
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    • 2005
  • The goal of this research is to evaluate the usability of visually browsing the automatically extracted information. A domain-independent information extraction system was used to extract information from news type texts to populate the visually browasable knowledge base. The information extraction system automatically generated Concept-Relation-Concept triples by applying various Natural Language Processing techniques to the text portion of the news articles. To visualize the information stored in the knowledge base, we used PersoanlBrain to develop a visualization portion of the user interface. PersonalBrain is a hyperbolic information visualization system, which enables the users to link information into a network of logical associations. To understand the usability of the visually browsable knowledge base, IS test subjects were observed while they use the visual interface and also interviewed afterward. By applying a qualitative test data analysis method. a number of usability Problems and further research directions were identified.

Danse et Musique, Music Visualization on Stage: Focused on Interview with Isang YUN (Danse et Musique, 무대 위의 '음악의 시각화': <윤이상을 만나다>를 중심으로)

  • BYUN, Daniel H.
    • Trans-
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    • v.1
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    • pp.91-116
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    • 2016
  • The theme of this research is the music visualization on stage. As the collaborated work, combining the dance, images with the Isang Yun's music, is showing the staged music, which is expressing the music not only through the sound but also the visualization. In the process of visualizing the music through the body and images on the stage, Isang Yun's musics are recreated in the hand of today's artists. The study found that the recreated work from the new point of view, like Interview with Isang Yun can be the bridge between the composer and today's artists and we can see the future through it. Even though, this paper analyzed the work through the aspects of dance and images, the main theme of the work is focusing how can we deliver the music in the new representative form through formative visualization on the stage.

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A Study on Data Cleansing Techniques for Word Cloud Analysis of Text Data (텍스트 데이터 워드클라우드 분석을 위한 데이터 정제기법에 관한 연구)

  • Lee, Won-Jo
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.745-750
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    • 2021
  • In Big data visualization analysis of unstructured text data, raw data is mostly large-capacity, and analysis techniques cannot be applied without cleansing it unstructured. Therefore, from the collected raw data, unnecessary data is removed through the first heuristic cleansing process and Stopwords are removed through the second machine cleansing process. Then, the frequency of the vocabulary is calculated, visualized using the word cloud technique, and key issues are extracted and informationalized, and the results are analyzed. In this study, we propose a new Stopword cleansing technique using an external Stopword set (DB) in Python word cloud, and derive the problems and effectiveness of this technique through practical case analysis. And, through this verification result, the utility of the practical application of word cloud analysis applying the proposed cleansing technique is presented.

An Analysis on the Visualization of the Online Newspaper : Focusing on the dependent Online Newspaper and Naver News (온라인신문의 시각화에 대한 분석: 종속형 온라인신문과 네이버 뉴스를 중심으로)

  • Park, Kwang-Soon
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.321-329
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    • 2016
  • This study aims at grasping the degree of change on the layout of newspaper through the analysis on the visualization of the Online Newspaper. It was analyzed on the basis of six dependent Online Newspapers. Six news companies' home pages and NAVER news homepage were compared and analyzed. As a result of the analysis, it has been found that the layout of the Online Newspaper has been changed rapidly through the visualization. Especially, the visualizations of some Online Newspaper have already reached the high level, and those of other newspapers are also under way rapidly. The visualization of the Online Newspaper is going on in the way that the size of images and the number of times of their being used in the news stories are increasing. Consequently, the visualization of the Online Newspaper follows the course of that of paper-based newspaper, and the relative importance of 'a newspaper that sees with an eye' to 'a newspaper that reads with an eye' grows bigger and bigger.

Development of the Artwork using Music Visualization based on Sentiment Analysis of Lyrics (가사 텍스트의 감성분석에 기반 한 음악 시각화 콘텐츠 개발)

  • Kim, Hye-Ran
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.89-99
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    • 2020
  • In this study, we tried to produce moving-image works through sentiment analysis of music. First, Google natural language API was used for the sentiment analysis of lyrics, then the result was applied to the image visualization rules. In prior engineering researches, text-based sentiment analysis has been conducted to understand users' emotions and attitudes by analyzing users' comments and reviews in social media. In this study, the data was used as a material for the creation of artworks so that it could be used for aesthetic expressions. From the machine's point of view, emotions are substituted with numbers, so there is a limit to normalization and standardization. Therefore, we tried to overcome these limitations by linking the results of sentiment analysis of lyrics data with the rules of formative elements in visual arts. This study aims to transform existing traditional art works such as literature, music, painting, and dance to a new form of arts based on the viewpoint of the machine, while reflecting the current era in which artificial intelligence even attempts to create artworks that are advanced mental products of human beings. In addition, it is expected that it will be expanded to an educational platform that facilitates creative activities, psychological analysis, and communication for people with developmental disabilities who have difficulty expressing emotions.

Method for 3D Visualization of Sound Data (사운드 데이터의 3D 시각화 방법)

  • Ko, Jae-Hyuk
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.331-337
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    • 2016
  • The purpose of this study is to provide a method to visualize the sound data to the three-dimensional image. The visualization of the sound data is performed according to the algorithm set after production of the text-based script that form the channel range of the sound data. The algorithm consists of a total of five levels, including setting sound channel range, setting picture frame for sound visualization, setting 3D image unit's property, extracting channel range of sound data and sound visualization, 3D visualization is performed with at least an operation signal input by the input device such as a mouse. With the sound files with the amount an animator can not finish in the normal way, 3D visualization method proposed in this study was highlighted that the low-cost, highly efficient way to produce creative artistic image by comparing the working time the animator with a study presented method and time for work. Future research will be the real-time visualization method of the sound data in a way that is going through a rendering process in the game engine.

BIM-based visualization technology for blasting in Underground Space (지하공간 BIM 기반 발파진동 영향 시각화 기술)

  • Myoung Bae Seo;Soo Mi Choi;Seong Jong Oh;Seong Uk Kim;Jeong Hoon Shin
    • Smart Media Journal
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    • v.12 no.11
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    • pp.67-76
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    • 2023
  • We propose a visualization method to respond to civil complaints through an analysis of the impact of blasting. In order to analyze the impact of blasting on tunnel excavation, we propose a simulation visualization method considering the mutual influence of the construction infrastructure by linking measurement data and 3D BIM model. First, the level of BIM modeling required for simulation was defined. In addition, vibration measurement data were collected for the GTX-A construction site, terrain and structure BIM were created, and a method for visualizing measurement data using blast vibration estimation was developed. Next, a spherical blasting influence source library was developed for visualization of the blasting influence source, and a specification table that could be linked with Revit Dynamo automation logic was constructed. Using this result, a method for easily visualizing the impact analysis of blasting vibration in 3D was proposed.

Implementation of Visual Editing Tool for SMIL (SMIL 스크립트 생성을 위한 시각적 편집도구)

  • Kim, Young-Hwan;Lim, Myung-Su;Kang, Suck-Chan;Lee, Nam-Ock;Lim, Young-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.04a
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    • pp.1172-1177
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    • 2000
  • 본 논문은 SMIL의 작성 시에 편리함을 제공하기 위한 시각적 편집 도구를 제안한다. SMIL은 서로 다른 미디어간의 동기화를 가능하게 하는 스크립트 언어이다. SMIL은 텍스트 편집기를 통하여 작성되는데 이는 작성에 있어 직관적인 면이 없어 많은 불편함을 갖는다. 따라서 시각적 편집 도구가 필요하며 이를 구현하기 위해 본 논문에서는 SMIL의 작성을 프리젠테이션과 하이퍼 프리젠테이션의 두 측면에서 설계하였으며 시각적 편집 도구 구현에는 멀티미디어 아이콘 프로그램 도구인 VIP를 확장하여 완성하는 방법을 택하였다. VIP를 확장함으로써 SMIL 번역이라는 기본 목적 외에 부가적으로 MuX의 공간적 동기화에 관련된 기능의 한계를 극복할 수 있게 된다.

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