Keywords: Amharic light Stemmer, Affixes, Amharic Sentiment Classification The result is compared with the current state-of-the-art stemmer for Amharic showing an increase of 7% in stemmer correctness. The performance of the generated stemmer is evaluated using dictionary) to verify the generated stem. The technique does not rely on any additional resource (e.g.
Infix or/and suffix, otherwise, it remains in one of the earlier states. The result is the stem if there is any prefix, That receive an Amharic word, and then it finds a match to the beginning of a word to the prefixes and to its ending with the suffixes and finally, it checks whether it has infix. In this paper, we design a light Amharic stemmer relying on the rules While many stemmers exist for dominant languages such as English, under-resourced languages such as Amharic which lacks such powerful tool support. Removing such affixes (prefixes, infixes, and suffixes) from a word to its base form is called stemming. The proposed approach efficiently removes affixes from an Amharic word. This paper presents the reduction of Amharic words to the corresponding stem wherewith the intention that it preserves semantic information.
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