Web Reference: Given the importance of stemming for information retrieval systems, in this paper, we present a detailed study of the adopted stemming approaches and the working mechanism of the various algorithms that follow each approach. Dec 17, 2025 · Stemming is an important text-processing technique that reduces words to their base or root form by removing prefixes and suffixes. This process standardizes words which helps to improve the efficiency and effectiveness of various natural language processing (NLP) tasks. In this article, we propose a selective approach to stemming that decides whether stemming should be applied or not on a query basis. Our method aims at minimizing the risk of failure caused by stemming in retrieving semantically-related documents.
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