Text Mining with R – upcoming courses in Belgium

October 10, 2017
By

(This article was first published on bnosac :: open analytical helpers, and kindly contributed to R-bloggers)

We use text mining a lot in day-to-day data mining operations. In order to share our knowledge on this, to show that R is an extremely mature platform to do business-oriented text analytics and to give you practical experience with text mining, our course on Text Mining with R is scheduled for the 3rd consecutive year at LStat, the Leuven Statistics Research Center (Belgium) as well as at the Data Science Academy in Brussels. Courses are scheduled 2 times in November 2017 and also in March 2018.

cran nlp cooccurrenceThis course is a hands-on course 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. The following items are covered.

  • Text encodings
  • Cleaning of text data, regular expressions
  • String distances
  • Graphical displays of text data
  • Natural language processing: stemming, parts-of-speech tagging, tokenization, lemmatisation
  • Sentiment analysis
  • Statistical topic detection modelling and visualization (latent diriclet allocation)
  • Visualisation of correlations & topics
  • Word embeddings
  • Document similarities & Text alignment

Feel free to register at the following dates:

  • 18-19/10/2017: Statistical machine learning with R. Leuven (Belgium). Subscribe here
  • 08+10/11/2017: Text mining with R. Leuven (Belgium). Subscribe here
  • 27-28/11/2017: Text mining with R. Brussels (Belgium). http://di-academy.com/bootcamp + send mail to [email protected]
  • 19-20/12/2017: Applied spatial modelling with R. Leuven (Belgium). Subscribe here
  • 20-21/02/2018: Advanced R programming. Leuven (Belgium). Subscribe here
  • 08-09/03/2018: Computer Vision with R and Python. Leuven (Belgium). Subscribe here
  • 22-23/03/2018: Text Mining with R. Leuven (Belgium). Subscribe here

To leave a comment for the author, please follow the link and comment on their blog: bnosac :: open analytical helpers.

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