Stemming is a natural language processing technique used to reduce words to their base or root form. For example, the words “running,” “runner,” and “ran” can all be reduced to the root word “run.” This process helps in simplifying text analysis by treating different forms of a word as the same, which can improve search results and data processing. The most common algorithm for stemming is the Porter Stemming Algorithm, which uses a set of rules to trim suffixes from words. Stemming is widely used in applications like search engines and text mining to enhance the efficiency of information retrieval and analysis.