An experiment on text segmentation

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What is text segmentation?
The whole point of text segmentation is to be able to divide texts into meaningful segments by using an algorithm that will analyze the text and automatically subdivide it by identifying topic shifts. This is really the first step towards a larger goal, that is being able to run a classifier on each identified segment and therefore be able to determine automatically what topic each segment is about. I therefore started investigating the possibilities of one implementation of text segmentation to see if the results were encouraging.
The results of this experimentation can be found here.

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