Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms

journal contribution

posted on 2024-06-06, 04:31 authored by J Wu, Guangyan HuangGuangyan Huang, H Zheng, GL Huang, B Cai, CH Chi, J He

Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms

History

Journal

IEEE Transactions on Emerging Topics in Computational Intelligence

Volume

PP

Location

Piscataway, N.J.

ISSN

2471-285X

eISSN

2471-285X

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000980472900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Issue

99

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publication URL

http://dx.doi.org/10.1109/tetci.2023.3266944

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Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Reliability Collaboration Market research Linguistics Computational intelligence Resource management Linear regression Emerging scientific topics trend analysis synonymous terms text mining clustering adaptivity

Licence

All Rights Reserved

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