A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction
Abstract Social media has attracted society for decades due to its reciprocal and real-life nature. It influenced almost all societal entities, including governments, academics, industries, health, and finance. The Social Network generates unstructured information about brands, political issues, cry...
Saved in:
| Main Authors: | Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-92563-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sentiment Matters for Cryptocurrencies: Evidence from Tweets
by: Radu Lupu, et al.
Published: (2025-04-01) -
Emotions and investments: the influence of investor sentiment on cryptocurrencies during the Covid-19 pandemic
by: Rayane Farias dos Santos, et al.
Published: (2025-07-01) -
Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model
by: Naila Aslam, et al.
Published: (2022-01-01) -
Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer
by: Arslan Farooq, et al.
Published: (2024-11-01) -
Trust-driven approach to enhance early forest fire detection using machine learning
by: Tayyab Khan, et al.
Published: (2025-04-01)