Mining and searching association relation of scientific papers based on deep learning
Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:TBKMAXTQrecord.jsonopen to challenge →
classification
cs.DL
cs.IR
keywords
scientificdataassociationdeeplearningminingsearchingtechnological
read the original abstract
There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and technological big data and help to design applications to serve scientific researchers. Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.