In today's era, where the Internet is a huge part of people's life, Information Retrieval (IR) is
as important as ever for people to retrieve relevant information in a quick way. The sentence …

Text clustering is one of the most commonly used methods for detecting themes or types of
documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to …

Stemming algorithms are used in information retrieval systems, indexers, text mining, text
classifiers etc., to extract stems or roots of different words, so that words derived from the …

This article deals with upper limb prosthetic made by 3D printing technology. For tests and
analysis the number of open-source bionic hands (eNable and exiii's HACKberry projects) …

The stemming is the process of transforming a word into its root or stem, hence, it is
considered as a crucial pre-processing step before tackling any task of natural language …

Xenophobia is a social and political behavior that has been present in our societies since
the beginning of humanity. The feeling of hatred, fear, or resentment is present before …

Stemming is a computational process for reducing words to their roots (or stems). It can be
classified as a recall-enhancing or precision-enhancing component. Existing Arabic …

Morphological analyzers are preprocessors for text analysis. Many Text Analytics
applications need them to perform their tasks. This paper reviews the SALMA-Tools …

Topic modeling is a machine learning algorithm based on statistics that follows
unsupervised machine learning techniques for mapping a high-dimensional corpus to a low …

We present in this article an Arabic lemmatizer that assigns to each word of an Arabic
sentence, a single lemma taking into account the word context. The proposed system …