<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/text-mining-with-r-upcoming-training-schedule/"></div></div><div><a data-url="https://www.r-bloggers.com/text-mining-with-r-upcoming-training-schedule/" data-counturl="https://www.r-bloggers.com/text-mining-with-r-upcoming-training-schedule/" data-count="horizontal" data-text="Text Mining with R – upcoming training schedule" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://www.bnosac.be/index.php/blog/59-text-mining-with-r-upcoming-training-schedule"> BNOSAC - Belgium Network of Open Source Analytical Consultants</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>Part of the R course offering of BNOSAC which you can find at <a target="_blank" href="http://bnosac.be/images/activities/bnosac_courses_r.pdf">http://bnosac.be/images/activities/bnosac_courses_r.pdf</a>, we offer several 2-day hands-on courses covering the use of text mining tools for the purpose of data analysis. It covers basic text handling, natural language engineering and statistical modelling on top of textual data.</p>
<p><img alt="tm predictive" src="https://i0.wp.com/www.bnosac.be/images/blog/tm_predictive.png?resize=456%2C268" data-recalc-dims="1"></p>
<p>Interested in upgrading your skills on text mining with R? Registering can be done for the following days.</p>
<p>2016: October 24-25: subscribe at <a target="_blank" href="https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r">https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r</a><br>2016: November 14-15: subscribe at <a target="_blank" href="http://di-academy.com/event/text-mining-with-r/">http://di-academy.com/event/text-mining-with-r/</a><br>2017: March 23-24: subscribe at <a target="_blank" href="https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r">https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r</a></p>
<p>The following elements are covered in this course.</p>
<p>1. Import of (structured) text data with focus on text <strong>encodings</strong>. Detection of language</p>
<p>2. Cleaning of text data, <strong>regular expressions</strong></p>
<p>3. <strong>String distances</strong></p>
<p>4. Graphical displays of text data</p>
<p>5. <strong>Natural language processing</strong>: stemming, parts-of-speech (<strong>POS</strong>) tagging, tokenization, <strong>lemmatisation</strong>, <strong>entity recognition</strong></p>
<p>6. <strong>Sentiment </strong>analysis</p>
<p>7. Statistical <strong>topic detection</strong> modelling and visualisation (latent dirichlet allocation)</p>
<p>8. Automatic <strong>classification </strong>using predictive modelling based on text data</p>
<p>9. <strong>Visualisation</strong> of correlations &amp; topics</p>
<p>10. <strong>Word embeddings</strong></p>
<p>11. <strong>Document similarities &amp; Text alignment</strong></p>
<p>Hope to see you there.<br><br data-mce-bogus="1"></p>
</div>
<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/text-mining-with-r-upcoming-training-schedule/"></div></div><div><a data-url="https://www.r-bloggers.com/text-mining-with-r-upcoming-training-schedule/" data-counturl="https://www.r-bloggers.com/text-mining-with-r-upcoming-training-schedule/" data-count="vertical" data-text="Text Mining with R – upcoming training schedule" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.bnosac.be/index.php/blog/59-text-mining-with-r-upcoming-training-schedule"> BNOSAC - Belgium Network of Open Source Analytical Consultants</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/xN21CWIime8"></a></div>