Text Analytics

Text analytics, in the context of predictive analytics, involves using computer algorithms to analyze written data—like social media posts, customer reviews, or emails—to uncover patterns and insights. By examining the sentiment, themes, and frequency of words, businesses can predict future trends, customer behavior, and potential issues. For example, analyzing customer feedback can help companies foresee product problems or identify what features customers love, allowing them to make informed decisions and improve services. Essentially, it transforms unstructured text into actionable information that guides strategic planning.