In the automotive sector, we used computational linguistics and machine learning to analyze thousands of online conversations about electric vehicles, luxury design, and brand reputation. The model identified emerging emotional drivers—trust in technology, sustainability fatigue, and evolving views on performance—that helped clients refine their messaging, reposition new models, and anticipate shifts in consumer priorities. This illustrates how we combine data science and human insight to reveal meaning beneath the metrics.