CLMay 9, 2022

Frictional Authors

arXiv:2206.05016v1
Originality Synthesis-oriented
AI Analysis

This is an incremental approach for text analysis researchers, offering a novel analogy but limited practical impact.

The authors tackled text analysis by developing a method based on dynamic friction analogy, using character frequency distributions to calculate friction coefficients, and demonstrated it on public domain texts with comparisons to Flesch Reading Ease.

I present a method for text analysis based on an analogy with the dynamic friction of sliding surfaces. One surface is an array of points with a 'friction coefficient' derived from the distribution frequency of a text's alphabetic characters. The other surface is a test patch having points with this friction coefficient equal to a median value. Examples are presented from an analysis of a broad range of public domain texts, and comparison is made to the Flesch Reading Ease. Source code for the analysis program is provided.

Foundations

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