<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/"></div></div><div><a data-url="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/" data-counturl="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/" data-count="horizontal" data-text="Hunspell 2.0: High-Performance Stemmer, Tokenizer, and Spell Checker for R" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://ropensci.org/blog/technotes/2016/09/12/hunspell-release-20"> rOpenSci Blog - R</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>A new version of the ropensci <a target="_blank" href="https://cran.r-project.org/package=hunspell">hunspell</a> package has been released to CRAN. Hunspell is the spell checker library used by LibreOffice, OpenOffice, Mozilla Firefox, Google Chrome, Mac OS-X, InDesign, Opera, RStudio and many others. It provides a system for tokenizing, stemming and spelling in almost any language or alphabet. The R package exposes both the high-level spell-checker as well as low-level stemmers and tokenizers which analyze or extract individual words from various formats (text, html, xml, latex).</p>
<h1>New Vignette</h1>
<p>This new version now includes a beautiful <a target="_blank" href="https://cloud.r-project.org/web/packages/hunspell/vignettes/intro.html">vignette</a> which gives an overview of the main functionality to get you started! It demonstrates the tokenizer, stemmer and spell-checker and has an example how to use the stemmer and tokenizer to create a word cloud from a large body of text.</p>
<p><a target="_blank" href="https://cloud.r-project.org/web/packages/hunspell/vignettes/intro.html"><img alt="Hunspell vignette" src="https://i1.wp.com/ropensci.org/assets/blog-images/hunspell-vignette.png?w=456" data-recalc-dims="1"></a></p>
<h1>Installing and Updating</h1>
<p>The package is most easily installed from CRAN:</p>
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<pre><code data-lang="r">install.packages<span>(</span><span>&quot;hunspell&quot;</span><span>)</span>
</code></pre>
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<p>Or to get the latest version from Github:</p>
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<pre><code data-lang="r">devtools<span>::</span>install_github<span>(</span><span>&quot;ropensci/hunspell&quot;</span><span>)</span>
</code></pre>
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<p>This package does not require any system dependencies (libhunspell is now bundled with the package).</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/"></div></div><div><a data-url="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/" data-counturl="https://www.r-bloggers.com/hunspell-2-0-high-performance-stemmer-tokenizer-and-spell-checker-for-r/" data-count="vertical" data-text="Hunspell 2.0: High-Performance Stemmer, Tokenizer, and Spell Checker for R" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://ropensci.org/blog/technotes/2016/09/12/hunspell-release-20"> rOpenSci Blog - R</a></strong>.</div>
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