Taylor, W. and Wang, J.Z. (2007) Concept Forest: A New Ontology-Assisted Text Document Similarity Measurement Method. In: 2007 ACM International Conference on Web Intelligence, Fremont, 2-5 November 2007, 395-401.

has been cited by the following article:

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

  AUTHORS: Ying Xie, Shouning Qu, Huanhuan Song

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

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.6, April 8, 2014

  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.