Andre Obereigner | Text Analytics
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Resources to Get Started With Text Analytics

“The overarching goal is, essentially, to turn text into data for analysis, via application of natural language processing (NLP) and analytical methods” (Wikipedia).

If you get started with text analytics, you may find the following resources helpful in your text analytics endeavors. I came across them during the course work for my Predictive Analytics degree at the Northwestern University.

R

When it comes to Natural Language Processing, the CRAN task view lists a variety of R libraries which “support computational linguists in conducting analysis of speech and language on a variety of levels – setting focus on words, syntax, semantics, and pragmatics”.

Apart from the CRAN task view, the Internet offers many more great resources. Here are just a few of them that I found valuable during my text analytics class:

Python

Because I am more comfortable with R, I signed up for a text mining course using Python at edX. During the course I came across the following post by Michael Fire.

I will add more resources as I come across them.

 

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