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2019
Proceedings of the ACM Symposium on Document Engineering 2019 - DocEng '19
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Additionally, I would like to thank Evangelos Milios from the Dalhousie University that participated in this Master's project since day one with many ideas and solutions. ...
ACKNOWLEDGEMENTS I would like to thank my advisor Maria Cristina Ferreira de Oliveira that guided me throughout the entire project with insightful discussions, a lot of patience and friendship. ...
Research on Visual Analytics is central to addressing the current challenges associated with data analysis and data-centered discovery. ...
doi:10.1145/3342558.3345401
dblp:conf/doceng/DiasMO19
fatcat:i2rzuaixujdcjj3wl7stpmneqq
Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection
2019
The Visual Computer
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The visual analytics suite consists of a set of visual components that are closely coupled with the underlying thematic topic detection to support interactive document retrieval. ...
They also contribute to effective document retrieval. ...
Visual analytics for topic modelling Topic modelling has long been used alongside visual analytics methods for text analysis. ...
doi:10.1007/s00371-019-01721-7
fatcat:rgz3z4eiojbkdfia4xtdzyjl5a
Enhancing document structure analysis using visual analytics
2010
Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10
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Our proposed method allows an efficient and effective adaptation of the structure analysis process by combining state-of-the-art machine learning with novel interactive visualization techniques, allowing ...
and is therefore not used in the search process. ...
Searching and information retrieval for text documents is a well known task. ...
doi:10.1145/1774088.1774091
dblp:conf/sac/StoffelSKK10
fatcat:clnf64dmgngfrnkiiydfa6izqa
Visualizing Military Explicit Knowledge using Document Clustering Techniques
2018
International Journal of Academic Research in Business and Social Sciences
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The framework focuses on data collection, pre-processing, text analytics and visualization using the hierarchical cluster analysis and K-Means algorithm. ...
Text Analytics of Unstructured Data (TAUD) framework is utilized for analyzing, discovering and visualizing essential patterns and knowledge within the military text documents. ...
Acknowledgement The authors would like to thank Universiti Pertahanan Nasional Malaysia (UPNM) and Ministry of Higher Education under NRGS/2013/UPNM/PK/P3 for sponsoring this publication. ...
doi:10.6007/ijarbss/v8-i6/4307
fatcat:fpqj6tttxjghba5dxfwcujt2ee
Visual analysis of documents with semantic graphs
2009
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09
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In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph. ...
We also show how to employ the proposed technique for the Visual Analytics challenge. ...
Providing visual and interactive data analysis is a key topic in Visual Analytics. ...
doi:10.1145/1562849.1562857
dblp:conf/kdd/RusuFMGS09
fatcat:2zxes7q6hzgnncfjub7ciktvcm
Visualizing Semantic Structure of a Clinical Text Document
2020
European Journal of Electrical Engineering and Computer Science
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In this paper we propose a unique approach for graphically representing and visualizing the semantic structure of a clinical text document to aid doctors in reviewing electronic clinical notes. ...
However, existing visualization techniques are mainly based on structured electronic health record and rarely support therapeutic activities. ...
ACKNOWLEDGEMENT The authors would like to take this opportunity to thank various medical professional both within and outside the country for providing professional advice and support. ...
doi:10.24018/ejece.2020.4.6.256
fatcat:zqogu4pxdjfztdwwbip4m735jq
Exploranative Code Quality Documents
2019
IEEE Transactions on Visualization and Computer Graphics
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2019 pre-print arXiv:1907.11481v1 fatcat:algguxyf6nh4zlrm5tjotuit3eOther Versions
Our approach to interactive documents was developed in a design study process that included software engineering and visual analytics experts. ...
We devise an interaction model that allows users to explore code quality with consistent linking between text and visualizations; through integrated explanatory text, users are taught background knowledge ...
ACKNOWLEDGMENTS Fabian Beck is indebted to the Baden-Württemberg Stiftung for the financial support of this research project within the Postdoctoral Fellowship for Leading Early Career Researchers. ...
doi:10.1109/tvcg.2019.2934669
pmid:31443011
fatcat:gd43axwaqbeg7nkqlops7j4pmm
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections
[article]
2020
arXiv
pre-print
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This visualization module aims at enabling users with no expertise in visualization and data analysis to get an overview of their corpus, and to interact with it: exploring, querying, filtering, panning ...
CARTOLABE is made of two modules: the first relies on Natural Language Processing methods, converting a corpus and its entities (documents, authors, concepts) into high-dimensional vectors, computing their ...
According to the survey and taxonomy of text visualization tools by Kucher and Kerren [6] CARTOLABE supports the analytic tasks "Text Summarization / Topic Analysis / Entity Extraction", the visualization ...
arXiv:2003.00975v2
fatcat:34f444u42fcf3ikf5drhaqgdcy
Visual Search for Supporting Content Exploration in Large Document Collections
2012
D-Lib Magazine
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Readings in information visualization, chapter Visualizing the non-visual: spatial analysis and interaction with information for text documents, pages 442450. ...
Zhou, Weihong Qian, Lei Shi, Li Tan, and Qiang Zhang. 2010. Tiara: a visual exploratory text analytic system. ...
doi:10.1045/july2012-herrmannova
fatcat:fdk3mqfv6fhg7g3q5ryape5q64
Visual evaluation of text features for document summarization and analysis
2008
2008 IEEE Symposium on Visual Analytics Science and Technology
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We apply documentfingerprinting for visualizing text features as an integral part of the analytic process. ...
We implement and evaluate the methodology on two different tasks, namely opinion analysis and document summarization and show that our iterative method leads to improved performance. ...
ACKNOWLEDGEMENT This work has been partly funded by the German Research Society (DFG) under the grant GK-1042, Explorative Analysis and Visualization of Large Information Spaces, Konstanz. ...
doi:10.1109/vast.2008.4677359
dblp:conf/ieeevast/OelkeBKLD08
fatcat:tnzz5kbxj5fbxdoewocrsdgqea
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
2013
IEEE Transactions on Visualization and Computer Graphics
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Taking a visual analytics approach, we integrate multiple text analysis algorithms with a suite of interactive visualizations in order to provide a flexible and powerful environment that allows analysts ...
Finally, we provide lessons learned toward the design and implementation of visual analytics systems for document exploration and understanding. ...
ACKNOWLEDGMENTS This research is based upon work supported in part by the National Science Foundation via Awards IIS-0915788 and CCF-0808863, and by the U.S. ...
doi:10.1109/tvcg.2012.324
pmid:23267206
fatcat:hjhelczb2bektfft4q4azva6b4
Tools for monitoring, visualizing, and refining collections of noisy documents
2009
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data - AND '09
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Developing better systems for document image analysis requires understanding errors, their sources, and their effects. ...
In this paper, we describe tools we are building to help the user view and understand the results of common document analysis procedures. ...
In the area of architectures to support ground-truthing for document analysis research, we cite Pink Panther [23] and TRUEVIZ [10] . ...
doi:10.1145/1568296.1568301
dblp:conf/and/LoprestiN09
fatcat:mcsqebspqrdf3m57bytpout3ya
Topic Similarity Networks: Visual Analytics for Large Document Sets
[article]
2014
arXiv
pre-print
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Visualizations of topic models based on these networks are shown to be a powerful means of exploring, characterizing, and summarizing large collections of unstructured text documents. ...
We investigate ways in which to improve the interpretability of LDA topic models by better analyzing and visualizing their outputs. ...
Supportive of User Interactivity. Topic similarity networks are intended for use with interactive systems utilizing full-text search and faceted navigation of documents (e.g., Solr search engine 1 ). ...
arXiv:1409.7591v1
fatcat:km6yf7thxvcnzdtapwz3jfbdfm
Topic similarity networks: Visual analytics for large document sets
2014
2014 IEEE International Conference on Big Data (Big Data)
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Visualizations of topic models based on these networks are shown to be a powerful means of exploring, characterizing, and summarizing large collections of unstructured text documents. ...
We investigate ways in which to improve the interpretability of LDA topic models by better analyzing and visualizing their outputs. ...
Supportive of User Interactivity. Topic similarity networks are intended for use with interactive systems utilizing full-text search and faceted navigation of documents (e.g., Solr search engine 1 ). ...
doi:10.1109/bigdata.2014.7004253
dblp:conf/bigdataconf/MaiyaR14
fatcat:hhf4rbrdzvdoldhat2tsyzad3m
An Empirical Evaluation of the Interactive Visualization of Metadata to Support Document Use
[chapter]
2002
Lecture Notes in Computer Science
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It uses interactive visualization of paragraph level metadata to allow rapid goal-directed search and navigation within documents. ...
Since information needs are often satisfied at the sub-document level, digital libraries should explore ways to support document use as well as retrieval. ...
Postgraduate training partnerships are a joint initiative of the DTI and the EPSRC. The first author would also like to thank Dr John Gilby for his wise counsel and Anne Poméry for emotional support. ...
doi:10.1007/3-540-36222-3_5
fatcat:5qeyianal5exxj7pn25dpujnie
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