https://edutechwiki.unige.ch/mediawiki/index.php?title=Semilar&feed=atom&action=historySemilar - Revision history2024-03-28T14:54:06ZRevision history for this page on the wikiMediaWiki 1.39.6https://edutechwiki.unige.ch/mediawiki/index.php?title=Semilar&diff=52652&oldid=prevDaniel K. Schneider: Created page with "{{Data mining and learning analytics tools |field_logo= |field_screenshot= |field_name=SEMILAR |field_developers=Vasile Rus et al. |field_website=http://www.semanticsimilarity..."2014-03-19T15:00:03Z<p>Created page with "{{Data mining and learning analytics tools |field_logo= |field_screenshot= |field_name=SEMILAR |field_developers=Vasile Rus et al. |field_website=http://www.semanticsimilarity..."</p>
<p><b>New page</b></p><div>{{Data mining and learning analytics tools<br />
|field_logo=<br />
|field_screenshot=<br />
|field_name=SEMILAR<br />
|field_developers=Vasile Rus et al.<br />
|field_website=http://www.semanticsimilarity.org/<br />
|field_data_tool_type=Application software<br />
|field_plugin_of=<br />
|field_license_type=Free&Closed source<br />
|field_free_software_licence=Academic Free License (AFL)<br />
|field_last_release=<br />
|field_last_version=alpha<br />
|field_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.<br />
<br />
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.<br />
<br />
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.<br />
<br />
|field_analysis_orientation=General analysis<br />
|field_data_analysis_objective=<br />
|field_mining_tool_type=Text mining<br />
|field_data_manipulation_type=Data analysis<br />
|field_import_format=<br />
|field_export_format=<br />
|field_extraction_type=<br />
|field_data_transformation_capabilities=<br />
|field_analysis_type=Data mining methods and algorithms<br />
|field_visualisation_type=<br />
|field_visualisation_characteristic=<br />
|field_tool_usability=rather easy to use<br />
|field_end_user_type=Researchers<br />
|field_statistics_level=<br />
|field_programming_level=<br />
|field_system_engineering_level=<br />
|field_data_mining_models_level=Basic<br />
|field_completion_level=Low<br />
|field_last_edition=2014/03/19<br />
}}<br />
'''Bibliography'''<br />
<br />
See [http://deeptutor2.memphis.edu/Semilar-Web/public/references.html SEMILAR: A Semantic Similarity Toolkit], for a complete list.<br />
<br />
* 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. [http://deeptutor2.memphis.edu/Semilar-Web/public/downloads/ACL-13.SEMILAR.DEMO.pdf PDF Reprint]</div>Daniel K. Schneider