A Comprehensive Survey of Stemming Methods in Information Retrieval

Abstract

In applications for text mining, stemming is seen as a pre-processing stage. Additionally, it serves as a general
requirement for the features of natural language processing. It is crucial in the majority of information
retrieval systems. Getting back to a word's root form from its various grammatical forms, such as its noun,
adjective, verb, adverb, etc., is the basic objective of stemming. We can argue that stemming's objective is to
reduce a word's various forms, including those derived from other words, to its fundamental form. In this
essay, we have discussed many approaches to determining a word's stem and contrasted them according to
their benefits and drawbacks. It is also discussed how stemming and lemmatization differ from one another.