IEEE Access · 2026
AI-Enhanced Financial NLP for Bitcoin Return Variation Prediction: Timestamp-Aware Evidence From Trump’s Tweets
Research overview
Financial NLP models are evaluated against Bitcoin return variation using timestamp-aware tweet and market data. The analysis emphasizes chronological evaluation and the timing of information availability.
Venue rankings & metrics
IEEE Access · Sources checked October 5, 2026
- SJRQ12025
Q1 in Computer Science (miscellaneous), Engineering (miscellaneous), and Materials Science (miscellaneous), 2025.
SCImago · IEEE Access ↗- CiteScore9.32025
2025 CiteScore from Scopus citation data, as reported by IEEE Access.
IEEE Access · Bibliometrics ↗- JIF4.22025
Journal Impact Factor 4.2, labeled 2025 on IEEE Access's bibliometrics page.
IEEE Access · Bibliometrics ↗- SJR0.8842025
SCImago Journal Rank indicator, 2025.
SCImago · IEEE Access ↗
SJR Q1 refers to SCImago's 2025 subject categories and is distinct from JCR quartiles. CiteScore and JIF are reported on IEEE Access's official bibliometrics page.
Citation · BibTeX
@article{hu2026bitcoinnlp,
title = {AI-Enhanced Financial NLP for Bitcoin Return Variation Prediction: Timestamp-Aware Evidence From Trump’s Tweets},
author = {Hu, Liang and Shen, Yinru},
journal = {IEEE Access},
volume = {14},
pages = {88558--88565},
year = {2026},
doi = {10.1109/ACCESS.2026.3700831}
}