Stop word removal is a preprocessing step in natural language processing that involves eliminating common words like 'the', 'is', and 'and' to improve computational efficiency and focus on meaningful content. This technique helps in reducing dimensionality in text data and enhances the performance of algorithms by concentrating on significant words that contribute more to the context or meaning of the text.