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pysurprisal reviews and mentions
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Kullback–Leibler Divergence
I have used KL-divergence in authorship verification: https://github.com/capjamesg/pysurprisal/blob/main/pysurpris...
My theory was: calculate entropy ("surprisal") of used words, then KL-divergence between a given prose and a collection of surprisals for different authors. The author to whom the prose had the highest KL-divergence was assumed to be the author. I think it has been used in stylometry a bit.
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capjamesg/pysurprisal is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of pysurprisal is Python.
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