This chapter explores the use of Natural Language Processing (NLP) to study entrepreneurial narratives and pitches, highlighting its potential to analyze linguistic, rhetorical, and emotional dimensions of entrepreneurial communication. By applying techniques such as sentiment analysis, topic modeling, and transformer-based models, NLP enables researchers to identify persuasive elements, detect biases, and predict funding outcomes. Case studies from crowdfunding campaigns, venture capital pitches, and real-time pitch coaching illustrate practical applications for entrepreneurs, investors, and educators. While NLP offers transformative insights, challenges such as data scarcity, contextual nuances, cross-cultural biases, and ethical considerations must be addressed. The chapter concludes by outlining future opportunities, including multimodal analysis, AI-driven training, and inclusive ecosystem development, demonstrating the role of NLP in advancing both entrepreneurship research and practice