Words That Win: A Multi-Model NLP and Clustering Framework for Analyzing Founder Language and Business Success

This paper looks at how a founder's motivation might be connected to how well their company earns money, especially across different industries. We collected motivational statements from founders’ profiles on the web, then analyzed the text to find common themes and emotional tones. By grouping similar types of motivation, we discovered patterns that seem to align with how much revenue a company makes. The study shows that the way founders talk about their goals and vision can give useful clues about the company’s future success. This helps us understand how a founder’s mindset can influence the growth of their business.