Slang feature extraction by analysing topic change on social media

Author:

Matsumoto Kazuyuki1ORCID,Ren Fuji1,Matsuoka Masaya1,Yoshida Minoru1,Kita Kenji1

Affiliation:

1. Graduate School of Technology, Industrial and Social Sciences, Tokushima University2‐1770‐8506Tokushima‐shiMinamijosanjima‐choJapan

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Three-Step Procedural Paradigm for Domain-Specific Social Media Slang Analytics;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

2. Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts;Proceedings of the National Academy of Sciences;2024-01-24

3. Slang Word Detection in the Context of User Profiling in the Social Media Platformes;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

4. Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

5. A Systematic Literature Review on Social Media Slang Analytics in Contemporary Discourse;IEEE Access;2023

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