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Awesome GitHub RepositoriesEntity-Based Scoring
Sentiment analysis that assigns scores to specific identified business entities within a larger text block.
Distinct from Sentiment Analysis Tools: Focuses on mapping sentiment to specific entities rather than general document or text polarity.
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Awesome Entity-Based Scoring GitHub Repositories
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- maxbbraun/trump2cash
maxbbraun/trump2cash
6,522在 GitHub 上查看trump2cash is a sentiment-based stock trading bot and social media market monitor. It uses a natural language processing sentiment analysis tool to scan real-time social media feeds for mentions of publicly traded companies and translates the emotional tone of that text into automated buy or short stock market orders. The system utilizes a ticker mapping utility to resolve company names, subsidiaries, and brands into valid public stock market ticker symbols. To verify the efficacy of these sentiment-driven signals, it includes an algorithmic trading backtester that evaluates trading strategie
Assigns sentiment scores to specific business entities identified within text to determine trade direction.
Python
