This document introduces methods for describing long texts as groups of repeating symbols or patterns.The process converts a series of real-number values into texts.Developed tailored algorithms for identifying repeated sequences in the text viseart etendu cashmerie are applied to decompose the text into nested tree-like structures of repeating symbols and is called the Nested Repeated Sequence Decomposition Model (NRSDM).The NRSDM is especially valuable for extracting repetitive behaviors in oscillatory but non-periodic and chaotic processes where the classical Fourier transform has limited application.The NRSDM along with the two graphical representations proposed here form a promising iphone 14 price montreal tool for characterizing long texts configured to represent the behavior of unidimensional processes.