Text Similarity Measurement of Semantic Cognition Based on Word Vector Distance Decentralization With Clustering Analysis

Text Similarity Measurement of Semantic Cognition Based on Word Vector Distance Decentralization With Clustering Analysis

Text similarity measurement, which is a basic task in natural language processing, is widely used in text information mining, news classification and clustering, artificial intelligence, and other fields. This paper proposes a text similarity measure method named word vector distance decentralizatio...

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Bibliographic Details
Main Authors: Shenghan Zhou, Xingxing Xu, Yinglai Liu, Runfeng Chang, Yiyong Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Text similarity
clustering analysis
parallel computing
semantic cognition
Online Access:https://ieeexplore.ieee.org/document/8784295/

Internet

https://ieeexplore.ieee.org/document/8784295/

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