This is the third installment in creating a brainfuck (BF) compiler using F# and FParsec. Previous posts discussed the parsing and the IL generation. Now it it time to pull it all together into something useful.

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Continuing with the BF compiler, it’s time to look at how to create code targeting the CLR. As before, I will be using F# to generate the target MSIL.

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So I thought to myself, what does the world need? Obviously another brainfuck (BF) compiler. In this series I will use F# and FParsec to compile BF source code into MSIL to run in Microsoft’s CLR. Honestly, this isn’t a particularly ground-breaking task, but it serves as a fun opportunity to showcase a popular parsing library. Beyond that, it shows how easy it is for F# to leverage various parts of the .NET ecosystem.

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This post is a follow up to my previous look into Text Analytics. It will provide additional examples of how data can be pulled and processed in F#. I’ll also use this as an opportunity to draw more charts. For all this to happen, I’ll be doing light analysis of the full text of Mary Shelley’s “Frankenstein”.

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Today I look at leveraging F# to perform text analysis using Microsoft’s Cognitive Services.

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