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Yeah, this is a classic case GIGO.

> Title A: kdjfs;dfisd;diofuosd

> Title B: sdlkn nmkd kljdsa;'[ (10% better)

> The winner is title B: sdlkn nmkd kljdsa;'[

I had to look up GIGO; "Garbage in, garbage out", https://en.wikipedia.org/wiki/Garbage_in,_garbage_out .

Converting text to numbers via individual characters destroys any semantic meaning to the input. Which is why no advanced NLP tools will do such a thing. Basically, what they describe takes whatever meaning is in the title and throws it in a shredder.

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