1.0Text Analytics Techniqueshttps://ai.intelligentonlinetools.com/mlowygs156https://ai.intelligentonlinetools.com/ml/author/owygs156/rich600338<blockquote class="wp-embedded-content" data-secret="1MFzQN4A52"><a href="https://ai.intelligentonlinetools.com/ml/text-clustering-word-embedding-machine-learning/">Text Clustering with Word Embedding in Machine Learning</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://ai.intelligentonlinetools.com/ml/text-clustering-word-embedding-machine-learning/embed/#?secret=1MFzQN4A52" width="600" height="338" title="“Text Clustering with Word Embedding in Machine Learning” — Text Analytics Techniques" data-secret="1MFzQN4A52" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(c,d){"use strict";var e=!1,o=!1;if(d.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(/[^a-zA-Z0-9]/.test(t.secret));else{for(var r,s,a,i=d.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),n=d.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),o=new RegExp("^https?:$","i"),l=0;l<n.length;l++)n[l].style.display="none";for(l=0;l<i.length;l++)if(r=i[l],e.source!==r.contentWindow);else{if(r.removeAttribute("style"),"height"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if("link"===t.message)if(s=d.createElement("a"),a=d.createElement("a"),s.href=r.getAttribute("src"),a.href=t.value,!o.test(a.protocol));else if(a.host===s.host)if(d.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener("message",c.wp.receiveEmbedMessage,!1),d.addEventListener("DOMContentLoaded",t,!1),c.addEventListener("load",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf("MSIE 10"),a=!!navigator.userAgent.match(/Trident.*rv:11\./),i=d.querySelectorAll("iframe.wp-embedded-content"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute("data-secret")))r=Math.random().toString(36).substr(2,10),t.src+="#?secret="+r,t.setAttribute("data-secret",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute("security"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:"ready",secret:r},"*")}}}}(window,document); </script> Text clustering is widely used in many applications such as recommender systems, sentiment analysis, topic selection, user segmentation. Word embeddings (for example word2vec) allow to exploit ordering of the words and semantics information from the text corpus. In this blog you can find several posts dedicated different word embedding models: GloVe – How to Convert ... Read morehttp://ai.intelligentonlinetools.com/ml/wp-content/uploads/2018/09/word2vec-1-e1537725898810.png