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Calculation and Performance Evaluation of Text Similarity Based on Strong Classification Features

Guiquan Shen

Guiquan Shen

Guangdong Power Grid CorporationGuangzhou, China
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Shen, Guiquan
, 
Xiaoqing Xiao

Xiaoqing Xiao

Guangdong Power Grid CorporationGuangzhou, China
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Xiao, Xiaoqing
, 
Bojian Wen

Bojian Wen

Guangdong Power Grid CorporationGuangzhou, China
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Wen, Bojian
, 
Junzhen Pan

Junzhen Pan

Guangdong Power Grid CorporationGuangzhou, China
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Pan, Junzhen
, 
Wuqiang Shen

Wuqiang Shen

Guangdong Power Grid CorporationGuangzhou, China
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Shen, Wuqiang
, 
Zhenyue Long

Zhenyue Long

Guangdong Power Grid CorporationGuangzhou, China
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Long, Zhenyue
, 
Jieliang Liang

Jieliang Liang

Guangdong Power Grid CorporationGuangzhou, China
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Liang, Jieliang
, 
Yi Wang

Yi Wang

Guangdong Power Grid CorporationGuangzhou, China
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Wang, Yi
 and 
Moaiad Ahmad Khder

Moaiad Ahmad Khder

College of Arts & Science, Applied Science UniversityBahrain
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Khder, Moaiad Ahmad
  
Jul 15, 2022
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Published Online: Jul 15, 2022
Page range: 707 - 714
Received: Feb 12, 2022
Accepted: Apr 11, 2022
DOI: https://doi.org/10.2478/amns.2022.2.0057
Keywords
© 2023 Guiquan Shen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

Definition of Semantic Identification Code
Definition of Semantic Identification Code

Figure 2

Comparison of Strong Classification Characteristics of the Overall Algorithm Data Flow Diagram
Comparison of Strong Classification Characteristics of the Overall Algorithm Data Flow Diagram

Figure 3

Semantic Function Library Comparison Module Design
Semantic Function Library Comparison Module Design

Figure 4

Core Comparison Module Data Flow Diagram
Core Comparison Module Data Flow Diagram
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English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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