Word stemming algorithm is used in artificial intelligence applications to stem derived words
to their respective root words. Even though there are many existing words stemming …

Text stemmer is one of useful language preprocessing tools in the field of information
retrieval, text mining and natural language processing. It is used to map morphological …

Stemmer is a language processing tool that has been widely used in many artificial
intelligence applications for removing affixes in a word such as prefixes, infixes, and suffixes …

In general, the current text stemmers for Malay texts were not developed for text stemming
against social media texts. Therefore, there is a need to develop an enhanced text stemmer …

Text stemming, an essential preprocessing step in the development of Natural Language
Processing (NLP) applications, involves the transformation of various word forms into their …

Word stemming algorithm is a natural language morphogical process of reducing derived
words to their respective root words. Due to the importance of word stemming algorithm …

Word stemming algorithm (or word stemmer) is an important preprocessing component in
the information retrieval and text categorization that aims to reduce derived words to their …

Word stemmer (or text stemmer) is used to remove bound morphemes from derived words
so that various morphological variants are mapped into common base forms. It is usually …

Word stemmer is an automated program to remove affixes, clitics and particles from derived
words based on morphological structures of specific natural languages. It has been widely …

Word stemmer is a text preprocessing tool used in many artificial intelligence applications
such as text mining, text categorization and information retrieval. It is used to stem derived …