DocuBurst
DocuBurst
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
The last edition of this page was on: 2014/03/18
The Completion level of this page is : Low
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
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT : TXT
EXPORT FORMAT : HTML
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
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:
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 |
|
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 |
☑ Providing feedback for supporting instructors: |
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-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:
|
| 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