<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>R | Academic</title><link>https://ellenwalsh.netlify.app/tags/r/</link><atom:link href="https://ellenwalsh.netlify.app/tags/r/index.xml" rel="self" type="application/rss+xml"/><description>R</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><lastBuildDate>Sun, 01 Dec 2019 00:00:00 +0000</lastBuildDate><image><url>img/map[gravatar:%!s(bool=false) shape:circle]</url><title>R</title><link>https://ellenwalsh.netlify.app/tags/r/</link></image><item><title>Textcraft</title><link>https://ellenwalsh.netlify.app/project/textcraft/</link><pubDate>Sun, 01 Dec 2019 00:00:00 +0000</pubDate><guid>https://ellenwalsh.netlify.app/project/textcraft/</guid><description>&lt;p>TextCraft delivers a framework with user-friendly interface to analyze and visualise any text corpus making it a versatile asset for unstructured text analysis. TextCraft is unique in the way that it is scalable, robust and its ease-of-interpretation, thus making it seamless even for user having minimal background in dealing with text. It uses various natural language processing algorithms in the backend, which are easily configurable, producing accurately tailored results.&lt;/p>
&lt;p>&lt;img src="https://ellenwalsh.netlify.app/project/TextCraft/stages.PNG" alt="">&lt;/p>
&lt;p>&lt;img src="https://ellenwalsh.netlify.app/project/TextCraft/workflow.PNG" alt="">&lt;/p>
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Click &lt;a href="https://neonflux56.shinyapps.io/TextCraft/">TEXTCRAFT&lt;/a> to access.
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