{"id":6367,"date":"2023-03-18T06:30:19","date_gmt":"2023-03-18T06:30:19","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2023\/03\/18\/multi-label-nlp-an-analysis-of-class-imbalance-and-loss-function-approaches\/"},"modified":"2023-03-18T06:30:19","modified_gmt":"2023-03-18T06:30:19","slug":"multi-label-nlp-an-analysis-of-class-imbalance-and-loss-function-approaches","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2023\/03\/18\/multi-label-nlp-an-analysis-of-class-imbalance-and-loss-function-approaches\/","title":{"rendered":"Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches"},"content":{"rendered":"<p>Author: Oleksii Babych<\/p>\n<div>In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2023\/03\/multilabel-nlp-analysis-class-imbalance-loss-function-approaches.html?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=multi-label-nlp-an-analysis-of-class-imbalance-and-loss-function-approaches\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Oleksii Babych In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2023\/03\/18\/multi-label-nlp-an-analysis-of-class-imbalance-and-loss-function-approaches\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":461,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6367"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=6367"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/6367\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/469"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=6367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=6367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=6367"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}