Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Edson Pindza

Biographic Data

ID1853770
NAMEEdson Pindza
GIVEN NAMESEdson
FAMILY NAMEPindza
SIGNATUREPINDZA E
AFFILIATIONSUniversity of South Africa
ORCID0000-0003-3207-8067
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Sentiment-driven cryptocurrency forecasting

    Open Access•Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga et al.•ARTICLE•Social Network Analysis and Mining•2025•References: 58

    Predicting cryptocurrency prices is challenging due to market volatility and external influences like social media sentiment. This study integrates Twitter sentiment analysis with deep learning models (LSTM, GRU, Bi-LSTM, and Temporal Attention Model) to enhance Bitcoin price forecasting. Sentiment features were extracted using VADER and RoBERTa, with findings showing that RoBERTa-based models significantly outperform VADER. Bi-LSTM (RoBERTa) ach…

No prominent works on this page.

  • Sentiment-driven cryptocurrency forecasting

    Open Access•Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga et al.•ARTICLE•Social Network Analysis and Mining•2025•References: 58

    Predicting cryptocurrency prices is challenging due to market volatility and external influences like social media sentiment. This study integrates Twitter sentiment analysis with deep learning models (LSTM, GRU, Bi-LSTM, and Temporal Attention Model) to enhance Bitcoin price forecasting. Sentiment features were extracted using VADER and RoBERTa, with findings showing that RoBERTa-based models significantly outperform VADER. Bi-LSTM (RoBERTa) ach…

Artificial Intelligence (1 works) · Complex Network Analysis Techniques (1 works) · Complex Systems and Time Series Analysis (1 works) · Computer Science (1 works) · Computer security (1 works) · Cryptocurrency (1 works) · Machine learning (1 works) · Opinion Dynamics and Social Influence (1 works) · Sentiment analysis (1 works)

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