Filters








36,230 Hits in 6.2 sec

TRIVIR

Amanda Gonçalves Dias, Evangelos E. Milios, Maria Cristina Ferreira de Oliveira
2019 Proceedings of the ACM Symposium on Document Engineering 2019 - DocEng '19  
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

Shaopeng Wu, Youbing Zhao, Farzad Parvinzamir, Nikolaos Th. Ersotelos, Hui Wei, Feng Dong
2019 The Visual Computer  
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

Andreas Stoffel, David Spretke, Henrik Kinnemann, Daniel A. Keim
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
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

Zuraini Zainol, Afiqah M. Azahari, Sharyar Wani, Syahaneim Marzukhi, Puteri N.E. Nohuddin, Omar Zakaria
2018 International Journal of Academic Research in Business and Social Sciences  
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

Delia Rusu, Blaž Fortuna, Dunja Mladenić, Marko Grobelnik, Ruben Sipoš
2009 Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09  
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

Jonah Kenei, Elisha Opiyo, Robert Oboko
2020 European Journal of Electrical Engineering and Computer Science  
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

Haris Mumtaz, Shahid Latif, Fabian Beck, Daniel Weiskopf
2019 IEEE Transactions on Visualization and Computer Graphics  
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]

Caillou Philippe, Renault Jonas, Fekete Jean-Daniel, Letournel Anne-Catherine, Sebag Michèle
2020 arXiv   pre-print
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

Drahomira Herrmannova, Petr Knoth
2012 D-Lib Magazine  
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

Daniela Oelke, Peter Bak, Daniel A. Keim, Mark Last, Guy Danon
2008 2008 IEEE Symposium on Visual Analytics Science and Technology  
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

C. Gorg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, J. Stasko
2013 IEEE Transactions on Visualization and Computer Graphics  
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

Daniel Lopresti, George Nagy
2009 Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data - AND '09  
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]

Arun S. Maiya, Robert M. Rolfe
2014 arXiv   pre-print
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

Arun S. Maiya, Robert M. Rolfe
2014 2014 IEEE International Conference on Big Data (Big Data)  
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]

Mischa Weiss-Lijn, Janet T. McDonnell, Leslie James
2002 Lecture Notes in Computer Science  
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
« Previous Showing results 1 — 15 out of 36,230 results