Research and Implementation of Text Similarity System Based on Power Spectrum Analysis

Ying Xie, Shouning Qu, Huanhuan Song

Information Network Center, University of Jinan, Jinan, China.
School of Information Science and Engineering, University of Jinan, Jinan, China.

DOI: 10.4236/jcc.2014.26002                

Abstract

The paper proposed the research and implement of text similarity system based on power spectrum analysis. It is not difficult to imagine that the signals of brain are closely linked with writing process. So we build text modeling and set pulse signal function to get the power spectrum of the text. The specific detail is getting power spectrum from economic field to build spectral library, and then using the method of power spectrum matching algorithm to judge whether the test text belonged to the economic field. The method made text similarity system finish the function of text intelligent classification efficiently and accurately.

Keywords

Pulsing Signal Function, Power Spectrum Matching Algorithm, Text Similarity System, Text Intelligent Classification

Conflicts of Interest

The authors declare no conflicts of interest.

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