Text analysis in the field of text mining requires complex techniques for handling several text
documents. Text clustering is among the most effective tactics in the field of text mining …

Text stemming is one of the basic preprocessing step for Natural Language Processing
applications which is used to transform different word forms into a standard root form. For …

The morphological analysis process is an important component of natural language
processing systems such as spelling correction tools, parsers, machine translation systems …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Developing an optimal …

The exponential increase in textual unstructured digital data creates significant demand for
advanced and smart stemming systems. As a preprocessing stage, stemming is applied in …

Named entity recognition (NER) is a fundamental part of other natural language processing
tasks such as information retrieval, question answering systems and machine translation …

The current gap which appears in the Quran ontology population domain is stemming
impact analysis on Indonesian Quran translation and their Tafsir to develop ontology …

Stemming is a technique used to transform words to their root forms. It is used in various
Natural Language Processing applications to improve performance and accuracy. In this …

With the advent of globalization epoch, the Internet-based resources for Urdu are increasing
in depth and breadth at a higher pace than ever and thus require a mechanism for …

Current Sundanese stemmers either ignore reduplication words or define rules to handle
only affixes. There is a significant amount of reduplication words in the Sundanese …