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11th International Conference on Information visualization (IV 2007)

作者： Weber, Wibke Stuttgart Media Univ Stuttgart Germany

ISBN: (纸本)9780769529004

This article introduces an approach to text visualization by colors. I suggest a color code that displays word classes: noun (black), verb (red), adjective (green), determiner (grey), particle (brown), conjunction (blue), and interjection (yellow). The colored words provide some details about 1. text genre, 2. sentence structure, and 3. writing style. Samples with fictional narratives and scientific articles (both in German) show that fictional texts have a brighter color pattern compared to scientific texts. The color pattern might be related to the hidden sound or melody of a text. Therefore, text visualization could be useful both as a future method to analyze different text genres and as a method helping laypersons getting a better feeling for texts, identifying troublesome phrases, and perhaps improving their writing style.

关键词： text visualization writing style text genres color code

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text visualization Techniques: Taxonomy, Visual Survey, and Community Insights 8

Text Visualization Techniques: Taxonomy, Visual Survey, and ...

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IEEE Pacific visualization Symposium (PacificVis)

作者： Kucher, Kostiantyn Kerren, Andreas Linnaeus Univ Dept Comp Sci ISOVIS Grp Vaxjo Sweden

ISBN: (纸本)9781467368797

text visualization has become a growing and increasingly important subfield of information visualization. Thus, it is getting harder for researchers to look for related work with specific tasks or visual metaphors in mind. In this paper, we present an interactive visual survey of text visualization techniques that can be used for the purposes of search for related work, introduction to the subfield and gaining insight into research trends. We describe the taxonomy used for categorization of text visualization techniques and compare it to approaches employed in several other surveys. Finally, we present results of analyses performed on the entries data.

关键词： visualization text visualization survey interaction web-based systems taxonomy community analysis

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Doccurate: A Curation-Based Approach for Clinical text visualization

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2019年第1期25卷 142-151页

作者： Sultanum, Nicole Singh, Devin Brudno, Michael Chevalier, Fanny Hosp Sick Children Toronto ON Canada Univ Toronto Toronto ON Canada

Before seeing a patient, physicians seek to obtain an overview of the patient's medical history. text plays a major role in this activity since it represents the bulk of the clinical documentation, but reviewing it quickly becomes onerous when patient charts grow too large. text visualization methods have been widely explored to manage this large scale through visual summaries that rely on information retrieval algorithms to structure text and make it amenable to visualization. However, the integration with such automated approaches comes with a number of limitations, including significant error rates and the need for healthcare providers to fine-tune algorithms without expert knowledge of their inner mechanics. In addition, several of these approaches obscure or substitute the original clinical text and therefore fail to leverage qualitative and rhetorical flavours of the clinical notes. These drawbacks have limited the adoption of text visualization and other summarization technologies in clinical practice. In this work we present Doccurate, a novel system embodying a curation-based approach for the visualization of large clinical text datasets. Our approach offers automation auditing and customizability to physicians while also preserving and extensively linking to the original text. We discuss findings of a formal qualitative evaluation conducted with 6 domain experts, shedding light onto physicians' information needs, perceived strengths and limitations of automated tools, and the importance of customization while balancing efficiency. We also present use case scenarios to showcase Doccurate's envisioned usage in practice.

关键词： Visual Curation Clinical text text visualization Medical Narrative

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Spatial text visualization Using Automatic Typographic Maps

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2012年第12期18卷 2556-2564页

作者： Afzal, Shehzad Maciejewski, Ross Jang, Yun Elmqvist, Niklas Ebert, David S. Purdue Univ W Lafayette IN 47907 USA Arizona State Univ Tempe AZ USA Sejong Univ Seoul South Korea

We present a method for automatically building typographic maps that merge text and spatial data into a visual representation where text alone forms the graphical features. We further show how to use this approach to visualize spatial data such as traffic density, crime rate, or demographic data. The technique accepts a vector representation of a geographic map and spatializes the textual labels in the space onto polylines and polygons based on user-defined visual attributes and constraints. Our sample implementation runs as a Web service, spatializing shape files from the OpenStreetMap project into typographic maps for any region.

关键词： Geovisualization spatial data text visualization label placement

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LRV: A Tool for Academic text visualization to Support theLiterature Review Process

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Computers, Materials & Continua 2019年第6期59卷 741-751页

作者： Tahani Almutairi Maha Al-yahya Information Technology Department College of Computer and Information SciencesKing Saud UniversityDeriyah CampusRiyadh 11451Saudi Arabia Information Technology Department College of Computer and Information SciencesKing Saud.UniversityDeriyah CampusRiyadh 11451Saudi Arabia

text visualization is concerned with the representation of text in a graphicalform to facilitate comprehension of large textual data. Its aim is to improve the ability tounderstand and utilize the wealth of text-based information available. An essential task inany scientific research is the study and review of previous works in the specified domain,a process that is referred to as the literature survey process. This process involves theidentification of prior work and evaluating its relevance to the research question. With theenormous number of published studies available online in digital form, this becomes acumbersome task for the researcher. This paper presents the design and implementationof a tool that aims to facilitate this process by identifying relevant work and suggestingclusters of articles by conceptual modeling, thus providing different options that enablethe researcher to visualize a large number of articles in a graphical easy-to-analyze *** tool helps the researcher in analyzing and synthesizing the literature and building aconceptual understanding of the designated research area. The evaluation of the toolshows that researchers have found it useful and that it supported the process of relevantwork analysis given a specific research question, and 70% of the evaluators of the toolfound it very useful.

关键词： text visualization information extraction text mining literature review

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A text visualization method for cross-domain research topic mining

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JOURNAL OF visualization 2016年第3期19卷 561-576页

作者： Jiang, Xinyi Zhang, Jiawan Tianjin Univ Tianjin Peoples R China

Cross-domain research topic mining can help users find relationships among related research domains and obtain a quick overview of these domains. This study investigates the evolution of cross-domain topics of three interdisciplinary research domains and uses a visual analytic approach to determine unique topics for each domain. This study also focuses on topic evolution over 10 years and on individual topics of cross domains. A hierarchical topic model is adopted to extract topics of three different domains and to correlate the extracted topics. A simple yet effective visualization interface is then designed, and certain interaction operations are provided to help users more deeply understand the visualization development trend and the correlation among the three domains. Finally, a case study is conducted to demonstrate the effectiveness of the proposed method.

关键词： Topic mining text visualization Visual analysis

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Understanding Massive text visualization 15

Understanding Massive Text Visualization

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15th IEEE/ACM Annual International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： Voltoline, Giovana Pais, Sebastiao Silva, Bruno Cordeiro, Joao Univ Beira Interior Comp Sci Dept Covilha Portugal Univ Beira Interior Covilha Portugal NOVA LINCS Covilha Portugal Univ Beira Interior Inst Telecommun Covilha Portugal Univ Beira Interior INESC TEC Porto Covilha Portugal

ISBN: (纸本)9798400704093

Massive text visualization is a burgeoning field that addresses the visualization, exploration, and analysis of extensive textual datasets, encompassing various domains such as social media, scientific literature, news articles, and more. This paper overviews recent advances, challenges, and potential solutions in massive text visualization and systematically categorizes these works, focusing on shared characteristics such as objectives, preprocessing techniques, processing approaches, and visualization methods. This comprehensive analysis can better understand the current and emerging trends in massive text visualization.

关键词： Massive text text visualization textual Data

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textINSIGHT: A NEW text visualization SYSTEM BASED ON ENTROPY AND GMAP

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Journal of Electronics(China) 2014年第5期31卷 453-464页

作者： Zhang Yuanben Huang Yu Fu Kun Song Jun Qi Xiang Key Laboratory of Spatial Information Process and Applied System Technology Chinese Academy of Sciences Institute of Electronics Chinese Academy of Sciences University of Chinese Academy of Sciences

In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visualization system called textInsight with two of our contributions. Firstly, a textual entropy theory is introduced to encode the semantic importance distribution in the corpus. Based on the proposed multidimensional joint probability histogram in vector fields, the improved algorithm provides a novel way to position valuable information in massive short texts accurately. Secondly, a map-like metaphor is generated to visualize the textual topics and their relationships. For the problem of over-segmentation in the layout and clustering procedure, we propose an optimization algorithm combining Affinity Propagation(AP) and MultiDimensional Scaling(MDS), and the improved geographical representation is more comprehensible and aesthetically appealing. Our experimental results and initial user feedback suggest that this system is effective in aiding text analysis.

关键词： text visualization text mining Information visualization textual entropy GMap Affinity Propagation(AP)

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Feasibility of text visualization in text Steganalysis 13

Feasibility of Text Visualization in Text Steganalysis

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13th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SoMeT)

作者： Ab Rauf, Rose Hafsah Jamal, Nurhafizah Univ Teknol Mara Fac Comp & Math Sci Selangor Malaysia

ISBN: (纸本)9781614994343;9781614994336

text steganography was never a threat until it has been manipulated by cyber criminals or terrorist for their own benefit. Secret messages sent through steganography with bad intent can cause harm and to the extent jeopardizing the security of a company or country. Thus, text steganalysis is critically needed for forensic investigation purposes due to the tremendous usage of digital media in accessing and disseminating information. Apparently, there has not been much research done on text steganalysis and mostly researches are based on statistical approach. The aim of the research is to propose a new text steganalysis technique in detecting format-based steganography using a simple and effective approach. This paper introduces a novel text steganalysis technique based on color-coded text visualization. An encoding scheme for the text visualization is designed by analyzing text features with respect to colors to detect whitespace pattern. The aim here is to distinguish between natural and stegano text by color-coded visualization. Experiments show that the detection performance accuracy successfully reaches 96.67% with remarkably high precision and recall. This finding has proved that the text visualization technique is capable in detecting text steganography effectively by simply looking at the text visualization image. It is evidently shown that a simple text steganalysis technique is successfully discovered and it is feasible.

关键词： text visualization text steganalysis text steganography format-based method color coding

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Interactive text visualization with text Variation Explorer 20

Interactive Text Visualization with Text Variation Explorer

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20th International Conference Information Visualisation (IV)

作者： Siirtola, Harri Isokoski, Poika Saily, Tanja Nevalainen, Terttu Univ Tampere Sch Informat Sci TAUCHI VIRG FIN-33101 Tampere Finland Univ Helsinki Dept English FIN-00014 Helsinki Finland

ISBN: (纸本)9781467389426

Digitalization is changing how research is carried out in all areas of science. Humanities is no exception materials that used to be hand-written or printed on paper are increasingly available in digital form. This development is changing how scholars are interacting with their material. We are addressing the problem of interactive text visualization in the context of sociolinguistic language study. When a scholar is reading and analyzing text from a computer screen instead of a paper, we can support this by providing a dashboard for reading, and by creating visualizations of the text structure, variation, and change. We have designed and developed a software tool called text Variation Explorer (TVE) for sociolinguistic language study. It is based on interactive visualization with a direct manipulation user interface, and aimed for exploratory corpus linguistics. The TVE software tool has proven to be useful in supporting the study of language variation and change in its social contexts, or sociolinguistics. It is, to a certain degree, language-independent, and generic enough to be useful in other linguistic contexts as well. We are now in the process of designing and implementing the next iteration of TVE. We present the lessons learned from the first version, discuss the old and the new design, and welcome feedback from the communities involved.

关键词： Information visualization text visualization interaction

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