Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding

Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding

Natural language processing text similarity calculation is a crucial and difficult problem that enables matching between various messages. This approach is the foundation of many applications. The word representation features and contextual relationships extracted by current text similarity computat...

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Bibliographic Details
Main Authors: Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
re-lstm
tf-idf
embedded device
χ² test
category association algorithm
text similarity
Online Access:http://dx.doi.org/10.1080/09540091.2022.2140122
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http://dx.doi.org/10.1080/09540091.2022.2140122

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