Table of Contents
Semilar
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SEMILAR alpha
Developed by: Vasile Rus et al.
License: Academic Free License (AFL)
Web page : Tool homepage
Tool type : Application software
The last edition of this page was on: 2014/03/19
The Completion level of this page is : Low
The last edition of this page was on: 2014/03/19 The Completion level of this page is : Low
SHORT DESCRIPTION
The goal of the SEMantic simILARity software toolkit (SEMILAR; pronounced the same way as the word 'similar') is to promote productive, fair, and rigorous research advancements in the area of semantic similarity. The kit is available as application software or as Java API.
As of March 2014, the GUI-based SEMILAR application is only available to a limited number of users who commit to help improving the usability of the interface. The JAVA libray (API) however, can be downloaded.
SEMILAR comes with various similarity methods based on Wordnet, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), BLEU, Meteor, Pointwise Mutual Information (PMI), Dependency based methods, optimized methods based on Quadratic Assignment, etc. And the similarity methods work in different granularities - word to word, sentence to sentence, or bigger texts. Some methods have their own variations which coupled with parameter settings and your selection of preprocessing steps could result in a huge space of possible instances of the same basic method.
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
- Data visualisation of type: (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS:
PROGRAMMING:
SYSTEM ADMINISTRATION:
DATA MINING MODELS: Basic
FREE TEXT
| Tool version : SEMILAR alpha (blank line) Developed by : Vasile Rus et al. |
|
SHORT DESCRIPTION[edit source]
The goal of the SEMantic simILARity software toolkit (SEMILAR; pronounced the same way as the word 'similar') is to promote productive, fair, and rigorous research advancements in the area of semantic similarity. The kit is available as application software or as Java API.
As of March 2014, the GUI-based SEMILAR application is only available to a limited number of users who commit to help improving the usability of the interface. The JAVA libray (API) however, can be downloaded.
SEMILAR comes with various similarity methods based on Wordnet, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), BLEU, Meteor, Pointwise Mutual Information (PMI), Dependency based methods, optimized methods based on Quadratic Assignment, etc. And the similarity methods work in different granularities - word to word, sentence to sentence, or bigger texts. Some methods have their own variations which coupled with parameter settings and your selection of preprocessing steps could result in a huge space of possible instances of the same basic method.
TOOL CHARACTERISTICS[edit source]
| 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
Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")
ABOUT USER[edit source]
| Tool is suitable for: | ||||
| Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑ |
| Required skills: | |||
| Statistics: | Programming: | System administration: | Data mining models: BASIC |
OTHER TOOL INFORMATION[edit source]
|
| SEMILAR |
| Academic Free License (AFL) |
| Free&Closed source |
| Vasile Rus et al. |
| alpha |
| http://www.semanticsimilarity.org/ |
| The goal of the SEMantic simILARity software toolkit (SEMILAR; pronounced the same way as the word 'similar') is to promote productive, fair, and rigorous research advancements in the area of semantic similarity. The kit is available as application software or as Java API.
As of March 2014, the GUI-based SEMILAR application is only available to a limited number of users who commit to help improving the usability of the interface. The JAVA libray (API) however, can be downloaded. SEMILAR comes with various similarity methods based on Wordnet, Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), BLEU, Meteor, Pointwise Mutual Information (PMI), Dependency based methods, optimized methods based on Quadratic Assignment, etc. And the similarity methods work in different granularities - word to word, sentence to sentence, or bigger texts. Some methods have their own variations which coupled with parameter settings and your selection of preprocessing steps could result in a huge space of possible instances of the same basic method. |
| General analysis |
| Researchers |
| Basic |
| Application software |
| Text mining |
| Data analysis |
| Data mining methods and algorithms |
| rather easy to use |
| Low |
Bibliography
See SEMILAR: A Semantic Similarity Toolkit, for a complete list.
- Rus, V., Lintean, M., Banjade, R., Niraula, N., and Stefanescu, D. (2013). SEMILAR: The Semantic Similarity Toolkit. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, August 4-9, 2013, Sofia, Bulgaria. PDF Reprint
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