<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/last-call-for-the-course-on-text-mining-of-next-week/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://www.bnosac.be/index.php/blog/82-last-call-for-the-course-on-text-mining-of-next-week"> bnosac :: open analytical helpers - bnosac :: open analytical helpers</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Last call for the 2-day course on Text Mining with R, held next week (08-09 October 2018) in Brussels, Belgium. Subscribe at <a rel="nofollow" href="https://www.eventbrite.co.uk/e/dsb2018-text-mining-with-r-jan-wijffels-bnosac-session-03-04-tickets-50586501588" target="_blank">https://www.eventbrite.co.uk/e/dsb2018-text-mining-with-r-jan-wijffels-bnosac-session-03-04-tickets-50586501588</a></p>
<h3><span>You’ll learn during that course the following:<br></span></h3>
<ul>
<li>Cleaning of text data, regular expressions</li>
<li>String distances</li>
<li>Graphical displays of text data</li>
<li>Natural language processing: stemming, parts-of-speech tagging, tokenization, lemmatisation, dependency parsing, noun phrase detection and keyword extraction</li>
<li>Entity recognition &amp; chunking using Conditional Random Fields</li>
<li>Sentiment analysis</li>
<li>Statistical topic detection modelling (latent dirichlet allocation)</li>
<li>Visualisation of correlations &amp; topics</li>
<li>Automatic classification using predictive modelling based on text data</li>
<li>Word and Text embeddings</li>
<li>Document similarities &amp; Text alignment</li>
</ul>
<h3><strong>Training on Text Mining <br></strong></h3>
<p>Are you interested in how text mining techniques work, then you might be interested in the following data science courses that are held in the coming months.<img alt="rtraining" src="https://i1.wp.com/www.bnosac.be/images/bnosac/blog/rtraining.png?w=456" data-recalc-dims="1"></p>
<ul>
<li><strong>08-09/10/2018: Text mining with R. Brussels (Belgium). </strong>Subscribe at<strong> <a rel="nofollow" href="https://www.eventbrite.co.uk/e/dsb2018-text-mining-with-r-jan-wijffels-bnosac-session-03-04-tickets-50586501588" target="_blank">https://www.eventbrite.co.uk/e/dsb2018-text-mining-with-r-jan-wijffels-bnosac-session-03-04-tickets-50586501588</a></strong></li>
<li>15-16/10/2018: Statistical machine learning with R. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/statistical-machine-learning-with-r" target="_blank">here</a></li>
<li><strong>05-06/11/2018: Text mining with R. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r" target="_blank">here</a></strong></li>
<li>19-20/12/2018: Applied spatial modelling with R. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/applied-spatial-modelling-with-r" target="_blank">here</a></li>
<li>21-22/02/2018: Advanced R programming. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/AdvancedprogramminginR.html" target="_blank">here</a></li>
<li>13-14/03/2018: Computer Vision with R and Python. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/ComputervisionwithRandPython" target="_blank">here</a></li>
<li>     15/03/2019: Image Recognition with R and Python: Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/Imagerecognition" target="_blank">here</a></li>
<li><strong>01-02/04/2019: Text Mining with R. Leuven (Belgium). Subscribe <a rel="nofollow" href="https://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r" target="_blank">here</a></strong></li>
</ul>
	<p>
<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/82-last-call-for-the-course-on-text-mining-of-next-week"> bnosac :: open analytical helpers - bnosac :: open analytical helpers</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 rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/hN7BmACMPXM" height="1"></a></div>