DocuBurst: Difference between revisions

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|field_data_tool_type=Web application
|field_data_tool_type=Web application
|field_plugin_of=
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|field_language=
|field_license_type=Free&Closed source
|field_license_type=Free&Closed source
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|field_tool_usability=easy to use
|field_tool_usability=easy to use
|field_end_user_type=Students/Learners/Consumers, Teachers/Tutors/Managers, Researchers
|field_end_user_type=Students/Learners/Consumers, Teachers/Tutors/Managers, Researchers
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|field_statistics_level=Basic
|field_programming_level=
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|field_system_engineering_level=
|field_system_engineering_level=None
|field_data_mining_models_level=Basic
|field_data_mining_models_level=Basic
|field_completion_level=Low
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* [http://vialab.science.uoit.ca/docuburst/help.php Help Page]
* [http://vialab.science.uoit.ca/docuburst/help.php Help Page]
* Christopher Collins. Interactive Visualizations of Natural Language. PhD thesis, University of Toronto, Toronto, Ontario, Canada, January, 2010. [http://innovis.cpsc.ucalgary.ca/innovis/uploads/Publications/Publications/Collins2010PhD.pdf PDF Paper]
* Christopher Collins. DocuBurst: Document Content Visualization using Language Structure. In Proceedings. of IEEE Symp. on Information Visualization (InfoVis 2006), Poster Session, Proceedings Compendium. (Baltimore, USA), IEEE Press, pages 112-113, 2006. [http://innovis.cpsc.ucalgary.ca/innovis/uploads/Publications/Publications/Collins_Docuburst_Infovis_Poster_Abstract_2006.pdf PDF Paper]

Latest revision as of 17:31, 18 November 2014

Docuburst-logo.png


DocuBurst

DocuBurst-2014-03-18.png

Developed by: Christopher Collins, Sheelagh Carpendale, Gerald Penn, Brittany Kondo and Bradley Chicoine
License: Free&Closed source
Web page : Tool homepage
Tool type : Web application

Tool.png

The last edition of this page was on: 2014/03/18

The Completion level of this page is : Low


SHORT DESCRIPTION

[[has description::According to the official help page (3(2014), DocuBurst is an online document visualization tool, and can be used for:

  • Uploading your own text documents
  • Creating interactive visual summaries of documents
  • Exploring keywords to uncover document themes or topics
  • Investigating intra-document word patterns, such as character relationships
  • Comparing documents
  • Commenting, annotating and sharing visualizations with others]]


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is easy to use.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for Text mining.

Manipulation type

This tool is designed for Data analysis, Data visualisation.

IMPORT FORMAT : TXT

EXPORT FORMAT : HTML


Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
☑ Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type:
  • Data analysis of type: Data mining methods and algorithms
  • Data visualisation of type: Chart/Diagram, Map (These visualisations can be interactive and updated in "real time")



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Basic

PROGRAMMING: None

SYSTEM ADMINISTRATION: None

DATA MINING MODELS: Basic



FREE TEXT

Tool version : DocuBurst
(blank line)

Developed by : Christopher Collins, Sheelagh Carpendale, Gerald Penn, Brittany Kondo and Bradley Chicoine
(blank line)
Tool Web page : http://vialab.science.uoit.ca/docuburst/uploader.php
(blank line)
Tool type : Web application
(blank line)
Free&Closed source

DocuBurst-2014-03-18.png

SHORT DESCRIPTION

According to the official help page (3(2014), DocuBurst is an online document visualization tool, and can be used for:

  • Uploading your own text documents
  • Creating interactive visual summaries of documents
  • Exploring keywords to uncover document themes or topics
  • Investigating intra-document word patterns, such as character relationships
  • Comparing documents
  • Commenting, annotating and sharing visualizations with others

TOOL CHARACTERISTICS

Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for Text mining. Authors of this page consider that this tool is easy to use.
Data import format Data export format
TXT. HTML.
Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
☑ Experimentation/observation

Can perform data extraction of type:

Can perform data transformation of type:


Can perform data analysis of type:
Data mining methods and algorithms


Can perform data visualisation of type:
Chart/Diagram, Map (These visualisations can be interactive and updated in "real time")


ABOUT USER

Tool is suitable for:
Students/Learners/Consumers:☑ Teachers/Tutors/Managers:☑ Researchers:☑ Organisations/Institutions/Firms:☑ Others:☑
Required skills:
Statistics: BASIC Programming: NONE System administration: NONE Data mining models: BASIC

OTHER TOOL INFORMATION

DocuBurst-2014-03-18.png
DocuBurst-2014-03-18.png
docuburst-logo.png
DocuBurst
Free&Closed source
Christopher Collins, Sheelagh Carpendale, Gerald Penn, Brittany Kondo and Bradley Chicoine
http://vialab.science.uoit.ca/docuburst/uploader.php
[[has description::According to the official help page (3(2014), DocuBurst is an online document visualization tool, and can be used for:
  • Uploading your own text documents
  • Creating interactive visual summaries of documents
  • Exploring keywords to uncover document themes or topics
  • Investigating intra-document word patterns, such as character relationships
  • Comparing documents
  • Commenting, annotating and sharing visualizations with others]]
General analysis
Students/Learners/Consumers, Teachers/Tutors/Managers, Researchers
Basic
None
None
Basic
Web application
Text mining
Data analysis, Data visualisation
Data mining methods and algorithms
TXT
HTML
Chart/Diagram, Map
easy to use
Low

Links

  • Christopher Collins. Interactive Visualizations of Natural Language. PhD thesis, University of Toronto, Toronto, Ontario, Canada, January, 2010. PDF Paper
  • Christopher Collins. DocuBurst: Document Content Visualization using Language Structure. In Proceedings. of IEEE Symp. on Information Visualization (InfoVis 2006), Poster Session, Proceedings Compendium. (Baltimore, USA), IEEE Press, pages 112-113, 2006. PDF Paper
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