Text visualization techniques: Taxonomy, visual survey, and community insights

Kucher, Kostiantyn; Kerren, Andreas

doi:10.1109/pacificvis.2015.7156366

Cited by 146 publications

(132 citation statements)

References 29 publications

Supporting

Mentioning

127

Contrasting

Unclassified

Order By: Relevance

“…A general overview of text visualization techniques is available in the interactive TextVis Browser [11]. Furthermore, Federico et al [12] provide a broad survey about various techniques and open challenges for analyzing the scientific literature.…”

Section: Related Workmentioning

confidence: 99%

Visual Analysis of Relationships between Heterogeneous Networks and Texts: An Application on the IEEE VIS Publication Dataset

2017

Self Cite

View full text Add to dashboard Cite

Abstract:The visual exploration of large and complex network structures remains a challenge for many application fields. Moreover, a growing number of real-world networks is multivariate and often interconnected with each other. Entities in a network may have relationships with elements of other related datasets, which do not necessarily have to be networks themselves, and these relationships may be defined by attributes that can vary greatly. In this work, we propose a comprehensive visual analytics approach that supports researchers to specify and subsequently explore attribute-based relationships across networks, text documents and derived secondary data. Our approach provides an individual search functionality based on keywords and semantically similar terms over the entire text corpus to find related network nodes. For examining these nodes in the interconnected network views, we introduce a new interaction technique, called Hub2Go, which facilitates the navigation by guiding the user to the information of interest. To showcase our system, we use a large text corpus collected from research papers listed in the visualization publication dataset that consists of 2752 documents over a period of 25 years. Here, we analyze relationships between various heterogeneous networks, a bag-of-words index and a word similarity matrix, all derived from the initial corpus and metadata.

show abstract

Section: Related Workmentioning

confidence: 99%

Visual Analysis of Relationships between Heterogeneous Networks and Texts: An Application on the IEEE VIS Publication Dataset

2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Одной из первых систем, реализовавших такой подход, была программа Document Cards [18], которая визуализировала ключевой контент документов как смесь изображений и важных терминов, благодаря чему изображение напоминало карты в карточной игре. Основным достижением этой работы была демонстрация важности использования изображений в качестве полноправных метаданных, что привело к большому количеству работ, расширяющих этот подход [19][20][21]. Наконец в работе [22] представлена система SurVis, позволяющая создавать визуальные обзоры коллекций публикаций.…”

Section: методы обзорной визуализации коллекции документовunclassified

Modern trends in visualization of collections of scientific publications

Apanovich¹

2017

Proceedings of 19th Scientific Conference “Scientific Services &Amp; Internet – 2017”

View full text Add to dashboard Cite

“…Kucher and Kerren [8] have recently made a survey of text visualization techniques and maintain an interactive, online browser of currently published techniques [17]. At the writing of this paper (the browser is constantly updated, initially there were 141 techniques) the browser lists and categorizes 272 text visualization techniques.…”

Section: B Text Visualizationmentioning

confidence: 99%

“…We can characterize them as direct, indirect, or hybrid visualizations. Please see Kucher and Kerren [8] for an extensive classification.…”

Section: Interactive Text Visualizationmentioning

confidence: 99%

Interactive Text Visualization with Text Variation Explorer

Siirtola

Isokoski

Säily

et al. 2016

2016 20th International Conference Information Visualisation (IV)

View full text Add to dashboard Cite

Abstract-Digitalization is changing how research is carried out in all areas of science. Humanities is no exceptionmaterials 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, languageindependent, 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.

show abstract

Text visualization techniques: Taxonomy, visual survey, and community insights

Cited by 146 publications

References 29 publications

Visual Analysis of Relationships between Heterogeneous Networks and Texts: An Application on the IEEE VIS Publication Dataset

Visual Analysis of Relationships between Heterogeneous Networks and Texts: An Application on the IEEE VIS Publication Dataset

Modern trends in visualization of collections of scientific publications

Interactive Text Visualization with Text Variation Explorer

Contact Info

Product

Resources

About