{"id":44,"date":"2022-11-24T23:58:21","date_gmt":"2022-11-24T23:58:21","guid":{"rendered":"https:\/\/fintext.ai\/?page_id=44"},"modified":"2024-09-15T19:10:10","modified_gmt":"2024-09-15T19:10:10","slug":"download","status":"publish","type":"page","link":"https:\/\/fintext.ai\/?page_id=44","title":{"rendered":"Download"},"content":{"rendered":"\r\n<p class=\"has-text-align-center\"><em><a href=\"https:\/\/fintext.ai\/FinText_Word_Embedding_Benchmarks\/FinText_Word_Embedding_Benchmarks.zip\"><strong>Gold-Standard Financial Benchmarks<sup>(18.00KB)<\/sup><\/strong><\/a> <\/em><\/p>\r\n<p>\r\n\r\n<\/p>\r\n<p class=\"has-text-align-center\"><em><span data-preserver-spaces=\"true\">This package contains the gold-standard financial benchmarks and the code for reading and applying them to the desired word embedding.<\/span><\/em><\/p>\r\n<p>&nbsp;<\/p>\r\n\r\n\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p><em><em><a href=\"https:\/\/www.rahimikia.com\/FinText\/FinText_Word2Vec_CBOW.zip\"><strong>Word2Vec\/CBOW<sup>(5.86GB)<\/sup><\/strong><\/a> <\/em><\/em><\/p>\r\n\r\n\r\n\r\n<p><em><em>This word embedding is developed based on Word2Vec algorithm and CBOW model.<\/em><\/em><\/p>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p><em><em><a href=\"https:\/\/www.rahimikia.com\/FinText\/FinText_FastText_CBOW.zip\"><strong>FastText\/CBOW<sup>(10.80GB)<\/sup><\/strong><\/a> <\/em><\/em><\/p>\r\n\r\n\r\n\r\n<p><em><em>This word embedding is developed based on FastText algorithm and CBOW model.<\/em><\/em><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column\">\r\n<p><em><em><a href=\"https:\/\/www.rahimikia.com\/FinText\/FinText_Word2Vec_Skip-gram.zip\"><strong>Word2Vec\/Skip-gram<sup>(5.85GB)<\/sup><\/strong><\/a><\/em><\/em><\/p>\r\n<p><em><em>This word embedding is developed based on Word2Vec algorithm and Skip-gram model.<\/em><\/em><\/p>\r\n<\/div>\r\n<div class=\"wp-block-column\">\r\n<p><em><em><a href=\"https:\/\/www.rahimikia.com\/FinText\/FinText_FastText_Skip-gram.zip\"><strong>FastText\/Skip-gram<sup>(10.80GB)<\/sup><\/strong><\/a><\/em><\/em><\/p>\r\n<p><em><em>This word embedding is developed based on FastText algorithm and Skip-gram model.<\/em><\/em><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n\r\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\r\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\r\n<p class=\"has-text-align-center\"><em><em><a href=\"https:\/\/www.rahimikia.com\/FinText\/FinText_WE_Codes.zip\"><strong>Python code<sup>(3.54KB)<\/sup><\/strong><\/a> <\/em><\/em><\/p>\r\n\r\n\r\n\r\n<p class=\"has-text-align-center\"><em><em>This python code can be used for reading and representing the downloaded word embeddings.<\/em><\/em><\/p>\r\n<\/div>\r\n<\/div>\r\n\r\n<p><script src=\"moz-extension:\/\/28bdadb6-f90e-4328-a56d-cd213bc319bd\/js\/app.js\" type=\"text\/javascript\"><\/script><\/p>\r\n<p>\r\n<script src=\"moz-extension:\/\/28bdadb6-f90e-4328-a56d-cd213bc319bd\/js\/app.js\" type=\"text\/javascript\"><\/script>\r\n<\/p>","protected":false},"excerpt":{"rendered":"<p>Gold-Standard Financial Benchmarks(18.00KB) This package contains the gold-standard financial benchmarks and the code for reading and&#46;&#46;&#46;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-44","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/pages\/44","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fintext.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=44"}],"version-history":[{"count":18,"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/pages\/44\/revisions"}],"predecessor-version":[{"id":351,"href":"https:\/\/fintext.ai\/index.php?rest_route=\/wp\/v2\/pages\/44\/revisions\/351"}],"wp:attachment":[{"href":"https:\/\/fintext.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=44"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}