**BNOSAC - Belgium Network of Open Source Analytical Consultants**, and kindly contributed to R-bloggers)

Last week, we had a great course on **Text Mining with R** at the European Data Innovation Hub. For persons interested in text mining with R, another **1-day crash course** is scheduled at the Leuven Statistics Research Center (Belgium) on **November 17** (http://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r). The following elements are covered in the course.

1. Import of (structured) text data with focus on text **encodings**. Detection of language

2. Cleaning of text data, **regular expressions**

3. **String distances**

4. Graphical displays of text data

5. **Natural language processing**: stemming, parts-of-speech (**POS**) tagging, tokenization, **lemmatisation**, **entity recognition**

6. **Sentiment **analysis

7. Statistical **topic detection** modelling and visualisation (latent dirichlet allocation)

8. Automatic **classification **using predictive modelling based on text data

More information on the course & the registration: http://lstat.kuleuven.be/training/coursedescriptions/text-mining-with-r

If you are interested in applying Text Mining techniques on your data, get in touch: bnosac.be/index.php/contact/mail-us

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**BNOSAC - Belgium Network of Open Source Analytical Consultants**.

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