Guns, Guns, Guns

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Girls like that is why dudes like Perry never get laid. :laugh:
 
You can keep your meth-mouth trailer ladies, Matt. I know that's what you like. Gettin' to "nail 'er in 'er trailer" like the song says.

Now I know you're that rest area glory hole dude. I called him a meth mouth earlier.

What's up, Tiny Teeth Truck Stop boi?
 
No, that's likely how it is done. How would YOU use software to find the authorship of a work?

It's pretty straightforward but requires a lot of compute resources.

:laugh:

You've never programmed anything in your life, ever.

Just have to look for similarities, dumbass. Kinda like you and @LurchAddams.
 
Still trying to make up shit, eh?

NOt at all. I actually spent a couple years learning text analytics. That's one of the ways. Here, you can read about some of the "distance measures" here: https://towardsdatascience.com/3-basic-distance-measurement-in-text-mining-5852becff1d7

It's actually some really cool math. Once you are able to create the term-document matrix (or it's inverse the document-term matrix) you have a kind of multidimensional vector. And then all you need to do is treat it that way. Sure there's more to it than simple "distance metrics" but distances and clustering analyses are great ways to determine authorship.

https://scalar.usc.edu/works/the-hannah-more-project/cluster-analysis-1
 
:laugh:

You've never programmed anything in your life, ever.

I will freely admit that programming is not my strong suit. That's why it was always a lot of work for me to write up the Python and R programs for processing the data for text analytics. I just recently found Orange which is a much nicer graphical method for building text analytics (and other data mining applications).


Just have to look for similarities, dumbass. Kinda like you and @LurchAddams.

That's what I was talking about. "Similarities" between authorship can be dealt with mathematically. The field of text analytics is really kinda neat.
 
I will freely admit that programming is not my strong suit. That's why it was always a lot of work for me to write up the Python and R programs for processing the data for text analytics. I just recently found Orange which is a much nicer graphical method for building text analytics (and other data mining applications).




That's what I was talking about. "Similarities" between authorship can be dealt with mathematically. The field of text analytics is really kinda neat.

I can agree with that, but..

Let's get back to them guns you shot, brah. What kind of guns have you shot?

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NOt at all. I actually spent a couple years learning text analytics.
Fiction.
That's one of the ways. Here, you can read about some of the "distance measures" here:
I don't care about your Holy Links. Looking shit up on Google proves nothing.
It's actually some really cool math.
You deny and discard statistical math.
Once you are able to create the term-document matrix (or it's inverse the document-term matrix) you have a kind of multidimensional vector.
Buzzword fallacies.
And then all you need to do is treat it that way. Sure there's more to it than simple "distance metrics" but distances and clustering analyses are great ways to determine authorship.
All you are showing is that you don't know how to program a computer as well as denying and discarding statistical math.

You are a nothing, pretending to be someone what you perceive to be 'important'.
 
I will freely admit that programming is not my strong suit. That's why it was always a lot of work for me to write up the Python and R programs for processing the data for text analytics. I just recently found Orange which is a much nicer graphical method for building text analytics (and other data mining applications).




That's what I was talking about. "Similarities" between authorship can be dealt with mathematically. The field of text analytics is really kinda neat.

You deny and discard the concept of data. Naming a couple of random programming languages does not make you a programmer. You deny and discard statistical math. You have shown that you do not know much about computers. You can't Google bullshit your way out of this. Your hand is revealed. You are a nothing. A bluffer.
 
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