GitHub / shank959 / crypto-sentiment-analysis
This cryptocurrency market sentiment analysis tool leverages a fine-tuned RoBERTa model for 98% accurate sentiment classification of cryptocurrency-related news articles. It uses Selenium and BeautifulSoup for web scraping news articles and provides insightful market sentiment analysis and data visualization
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shank959%2Fcrypto-sentiment-analysis
PURL: pkg:github/shank959/crypto-sentiment-analysis
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 16.7 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: 8 months ago
Topics: beautifulsoup4, bert-fine-tuning, huggingface, large-language-models, natural-language-processing, selenium