KH Coder
KH Coder 2.Beta.30 (2014/03/14)
Developed by: Koichi Higuchi
License: GPL / GNU General Public License
Web page : Tool homepage
Tool type : Application software
The last edition of this page was on: 2014/03/21
The Completion level of this page is : Medium
The last edition of this page was on: 2014/03/21 The Completion level of this page is : Medium
SHORT DESCRIPTION
KH Coder is an application for quantitative content analysis, text mining or corpus linguistics. It can handle Japanese, English, French, German, Italian, Portuguese and Spanish language data. By inputting the raw texts the searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis can be utilized.
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
| 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, Basic statistics and data summarization
- Data visualisation of type: Sequential Graphic, Chart/Diagram, Map, Tag Cloud (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS: Medium
PROGRAMMING: None
SYSTEM ADMINISTRATION: None
DATA MINING MODELS: Medium
FREE TEXT
| Tool version : KH Coder 2.Beta.30 2014/03/14 (blank line) Developed by : Koichi Higuchi |
|
SHORT DESCRIPTION
KH Coder is an application for quantitative content analysis, text mining or corpus linguistics. It can handle Japanese, English, French, German, Italian, Portuguese and Spanish language data. By inputting the raw texts the searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis can be utilized.
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 rather easy to use. |
| Data import format | Data export format |
|---|---|
| . | . |
| 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, Basic statistics and data summarization
Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram, Map, Tag Cloud (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: MEDIUM | Programming: NONE | System administration: NONE | Data mining models: MEDIUM |
OTHER TOOL INFORMATION
|
|
| KH_Coder.png |
| Kh log.jpg |
| KH Coder |
| GPL / GNU General Public License |
| Free&Open source |
| Koichi Higuchi |
| 2014/03/14 |
| 2.Beta.30 |
| http://khc.sourceforge.net/en/ |
| KH Coder is an application for quantitative content analysis, text mining or corpus linguistics. It can handle Japanese, English, French, German, Italian, Portuguese and Spanish language data. By inputting the raw texts the searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis can be utilized. |
| General analysis |
| Students/Learners/Consumers, Teachers/Tutors/Managers, Researchers |
| Medium |
| None |
| None |
| Medium |
| Application software |
| Text mining |
| Data analysis, Data visualisation |
| Data mining methods and algorithms, Basic statistics and data summarization |
| Sequential Graphic, Chart/Diagram, Map, Tag Cloud |
| rather easy to use |
| Medium |
