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Haorui He

Biographic Data

ID10054357
NAMEHaorui He
GIVEN NAMESHaorui
FAMILY NAMEHe
SIGNATUREHE H
AFFILIATIONSHong Kong Baptist University
ORCID0000-0002-3429-863X
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads

    Open Access•Yupeng Li, Haorui He et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Target-specific stance detection on social media, which aims at classifying a textual data instance such as a post or a comment into a stance class of a target issue, is an emerging opinion mining paradigm of importance. An example application would be to overcome vaccine hesitancy in combating the coronavirus pandemic. Existing stance detection strategies rely merely on the individual instances which cannot always capture the expressed stance of…

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  • Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads

    Open Access•Yupeng Li, Haorui He et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Target-specific stance detection on social media, which aims at classifying a textual data instance such as a post or a comment into a stance class of a target issue, is an emerging opinion mining paradigm of importance. An example application would be to overcome vaccine hesitancy in combating the coronavirus pandemic. Existing stance detection strategies rely merely on the individual instances which cannot always capture the expressed stance of…

Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Benchmarking (1 work) · Communication (1 work) · Computer Science (1 work) · Conversation (1 work) · Machine learning (1 work) · Natural language processing (1 work) · Psychology (1 work) · Sentiment analysis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae