This book mainly focuses on the role of stemming in Kafi-noonoo text retrieval area. Stemming may be positive or negative impacts in different language Text Retrieval consequently; it has positive impact in Kafi-noonoo language.We check it with stemming and without stemming using an experiment as we got Kafi-noonoo text retrieval has better performance than without stemming. For information retrieval experiment purpose we use 220 Kafi-noonootext files with fifteen sample queries. Data pre-processing steps (tokenization normalization stop word removal and stemming) with other tasks like term weighting were preconditions for the vector space model to represent both each document and a given query.
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