Text similarity detection method based on NLP

Xiaoli DAI; Shifeng LIU; Daqing GONG

doi:10.11959/j.issn.1000-436x.2021192

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Text similarity detection method based on NLP

Papers | 更新时间：2024-06-05

- Text similarity detection method based on NLP
- Journal on Communications Vol. 42, Issue 10, Pages: 173-181(2021)
- 作者机构：
  
  1. 北京交通大学经济管理学院，北京 100044
  2. 北京信通传媒有限责任公司，北京 100078
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(J1824031)
- DOI：10.11959/j.issn.1000-436x.2021192
  CLC： TP391
- Online First：2021-10，
  
  Published：25 October 2021
- 稿件说明：
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Xiaoli DAI, Shifeng LIU, Daqing GONG. Text similarity detection method based on NLP[J]. Journal on Communications, 2021, 42(10): 173-181.
DOI：

Xiaoli DAI, Shifeng LIU, Daqing GONG. Text similarity detection method based on NLP[J]. Journal on Communications, 2021, 42(10): 173-181. DOI： 10.11959/j.issn.1000-436x.2021192.

摘要

针对当前的文本相似度检测方法忽略文档结构信息、缺乏语义关联性的问题，提出了面向文本的相似度检测方法。首先，采用层次分析法（AHP）计算词语位置权重以提取特征词。其次，引入 Pearson 相关系数度量词语间的语义关联，并将其作为广义 Dice 系数的权重计算相似度。实验表明，所提方法在提高特征词提取的精确度、相似度计算结果的准确率方面表现良好。

Abstract

Current text similarity detection methods that ignore document structure information and lack semantic relevance.To solve these problems

a text-oriented similarity detection method was proposed.First

analytic hierarchy process (AHP) was used to calculate word position weight to extract feature words.Second

the Pearson correlation coefficient was used to measure semantic correlation between words which was the weight of generalized Dice coefficient to calculate similarity.Experimental results show that the proposed method can improve the precision of feature word extraction and the accuracy of similarity calculation results.

关键词

Keywords

references

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