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(This article was first published on <strong><a href="http://blog.nycdatascience.com/student-works/nlp-with-airbnb/"> R – NYC Data Science Academy Blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<h2><span>Basic NLP in R</span></h2>
<h3><span>With text survey data about AirBnb</span></h3>
<h4><span>R is a very powerful programming language with many great built in statistical functions and a large repository of additional libraries. In this post I will introduce some basic text analysis to generate a ‘stemmed’ wordcloud and frequency chart from text data.</span></h4>
<h4><a target="_blank" rel="nofollow" href="https://blog.nycdatascience.com/wp-content/uploads/2017/04/airb-feature.jpg"><br>
</a><a target="_blank" rel="nofollow" href="https://i2.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airbnb-wordcloud.jpeg?ssl=1"><img sizes="(max-width: 331px) 100vw, 331px" alt="airbnb-wordcloud" class="wp-image-20895" src="https://i1.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airbnb-wordcloud-963x1024.jpeg?resize=331%2C352&ssl=1" data-recalc-dims="1"></a> .     <a target="_blank" rel="nofollow" href="https://i1.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airbnb-top6-.jpeg?ssl=1"><img sizes="(max-width: 359px) 100vw, 359px" alt="airbnb-top6--" class="wp-image-20893" src="https://i0.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airbnb-top6--1024x1010.jpeg?resize=359%2C354&ssl=1" data-recalc-dims="1"></a></h4>
<h3></h3>
<h3><span>AirBnb</span></h3>
<p><span><strong><a target="_blank" rel="nofollow" href="https://i1.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airblogo.png?ssl=1"><img sizes="(max-width: 149px) 100vw, 149px" alt="airblogo" class="wp-image-20954" src="https://i1.wp.com/blog.nycdatascience.com/wp-content/uploads/2017/04/airblogo.png?resize=149%2C182&ssl=1" data-recalc-dims="1"></a><br>
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<h4><span>Recently, I had the opportunity to help someone with a research paper written about AirBNB. The author was trying to analyze how customers feel about the company, so she decided to create a survey with Survey Monkey, and had 45 respondents.</span></h4>
<h4><span>This seemed like a good opportunity for some text mining and text analysis in R.</span></h4>
<h5></h5>
<h5><span>Continue to the <strong>next page</strong> for instructions creating the above visualizations with NLP techniques.</span></h5>
<h5></h5>
<p>The post <a target="_blank" rel="nofollow" href="http://blog.nycdatascience.com/student-works/nlp-with-airbnb/">NLP with AirBnb</a> appeared first on <a target="_blank" rel="nofollow" href="http://blog.nycdatascience.com/">NYC Data Science Academy Blog</a>.</p>
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