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

• 作者: Huanhuan Song Shouning Qu Ying Xie
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: Pulsing Signal Function Power SPECTRUM MATCHING Algorithm TEXT SIMILARITY SYSTEM TEXT Intelligent Classification
• 年，卷（期）: 2014,（6）
• 页码范围: 7-17
• 页数: 11页
• 分类号: TP39

摘要

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.