Precision and recall results of three algorithms.

<div><p>Aiming at the problem that traditional network public opinion monitoring and searching are inefficient and can easily cause resource waste, the study firstly, through the dynamic deletion-shortest path algorithm to classify network text, and on this basis, innovatively constructs...

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Bibliographic Details
Main Author:	Nan Xu (107466) (author)
Other Authors:	Yifeng Wang (117830) (author)
Published:	2024
Subjects:	Genetics Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified shortest path algorithm research results show recurrent neural network public opinion risk convolutional neural network classification effect measurement average precision rate 30 %, 79 uses attention mechanism hybrid dynamic deletion div >< p sentiment classification model classify network text dynamic deletion attention mechanism recall rate long text classification speed classification model 84 %, 55 %, 53 %, superior performance innovatively constructs decision model
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Precision and recall results of three algorithms.

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