The Rete algorithm is a pattern matching algorithm used for implementing rule-based systems. It was designed by Charles L. Forgy at Carnegie Mellon University and is particularly efficient at applying many rules or patterns to many objects, or facts, in a knowledge base. The algorithm is named after the Italian word for ‘network’, reflecting its network-like structure of nodes used for pattern matching.
The Rete algorithm can be used in natural language processing applications such as sentiment analysis, where it can quickly match rules to extract insights from text data.