{"id":99,"date":"2010-12-07T08:52:17","date_gmt":"2010-12-07T08:52:17","guid":{"rendered":"http:\/\/ailab.ijs.si\/ailab\/?page_id=99"},"modified":"2014-06-12T12:43:49","modified_gmt":"2014-06-12T12:43:49","slug":"feature-constructionextraction","status":"publish","type":"page","link":"https:\/\/ailab.ijs.si\/si\/tools\/text-garden\/feature-constructionextraction\/","title":{"rendered":"Feature construction\/extraction"},"content":{"rendered":"<p><\/p>\n<ul>\n<li><strong>Learning semantic-space of      documents (Bow2SemSpace) <a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/Bow2SemSpace.zip\">Download<\/a><\/strong><br \/>\nCreates semantic-space representation of documents based on Latent      Semantic Indexing.<br \/>\n<a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/Bow2SemSpace.htm\">Parameters      and example call<\/a>.<\/li>\n<\/ul>\n<ul>\n<li><strong>Projecting on the      semantic-space of documents (ProjBow2SemSpace) <a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/ProjBow2SemSpace.zip\">Download<\/a><\/strong><br \/>\nProjects documents provided in the Bag-Of-Words format to  semantic-space      representation of documents that was previously  generated using <a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/Bow2SemSpace.htm\">Bow2SemSpace<\/a>.<br \/>\n<a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/ProjBow2SemSpace.htm\">Parameters      and example call<\/a>.<\/li>\n<\/ul>\n<ul>\n<li><strong>Learning language independent      semantic-space of documents (PrSet2SemSpace) <a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/PrSet2SemSpace.zip\">Download<\/a><\/strong><br \/>\nThe utility learns language independent semantic space for two languages      from paired corpus.<br \/>\n<a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/PrSet2SemSpace.htm\">Parameters      and example call<\/a>.<\/li>\n<\/ul>\n<ul>\n<li><strong>Feature Extraction from Images      (ImgFeatures) <a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/ImgFeatures.zip\">Download<\/a><\/strong><br \/>\nThe utility extracts various groups of features from input images.<br \/>\n<a href=\"http:\/\/kt.ijs.si\/Dunja\/textgarden\/ImgFeatures.htm\">Parameters and      example call<\/a>.<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Learning semantic-space of documents (Bow2SemSpace) Download Creates semantic-space representation of documents based on Latent Semantic Indexing. Parameters and example call. Projecting on the semantic-space of documents (ProjBow2SemSpace) Download Projects documents provided in the Bag-Of-Words format to semantic-space representation of documents that was previously generated using Bow2SemSpace. Parameters and example call. Learning language independent semantic-space of [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":26,"menu_order":11,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-99","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/pages\/99","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/comments?post=99"}],"version-history":[{"count":0,"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/pages\/99\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/pages\/26"}],"wp:attachment":[{"href":"https:\/\/ailab.ijs.si\/si\/wp-json\/wp\/v2\/media?parent=99"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}