Today, we focus on the role of AI and Natural Language Processing (NLP) in fraud detection. Fraud detection involves building a cyclical feedback loop to continuously improve detection methods over time. When it comes to content that can be analyzed using NLP, the first step is understanding the text. By mining the data and developing a fraud dictionary based on patterns and keywords, potential signals for fraud can be identified. This initial understanding is then used to create models and evaluate their performance.