A new package that extracts and structures key historical facts and insights from textual descriptions of historical events, such as the Lend-Lease program during World War II. The package takes a tex

A new package that transforms unstructured text descriptions of software performance benchmarks into standardized, comparable metrics. Users input text descriptions of performance tests, and the packa

A new package that analyzes text input to determine sentiment intensity and polarity toward specific tech CEOs or companies, returning structured scores and rankings. It uses pattern matching to ensur

🔍 Analyze sentiment toward tech CEOs and companies with this Python package, providing structured scores and confidence metrics for informed insights.

📚 Extract and organize historical facts from natural language descriptions, enhancing educational tools and research with structured insights.