The Snowball Stemmer is a popular algorithm used in natural language processing for reducing words to their base or root form, known as stemming. It helps in simplifying text analysis by converting different forms of a word into a single representation. For example, the words "running," "runner," and "ran" can all be reduced to the root word "run." Developed by Martin Porter, the Snowball Stemmer is an improvement over earlier stemming algorithms, offering better accuracy and efficiency. It supports multiple languages, making it a versatile tool for applications in search engines, information retrieval, and text mining.