Unlocking Insights from Unstructured Text – AI Techniques for Text Analysis

Unstructured text data holds invaluable insights, but making sense of qualitative information at scale presents a monumental challenge. This chapter explores techniques that enable generative AI systems to automate the analysis and organization of free-form text.

We’ll learn how sentiment analysis classifies the emotional tone behind words to determine whether content is positive, neutral, or negative. We’ll see how data classification uses machine learning to categorize text into predefined topics and labels. And we’ll discover how pattern-matching techniques can extract key information from unstructured data and transform it into structured outputs.

These AI capabilities help businesses and organizations efficiently process massive amounts of unstructured data to uncover actionable insights. Sentiment analysis reveals how consumers feel about products or brands. Data classification...