With the widespread growth of data on the Web, the need for efficient methods to get and
arrange valuable information from these big noisy data is increased. The knowledge graph …

The widespread use of social media has created a wealth of Arabic textual data, presenting
challenges for NLP researchers due to the complexity and characteristics of the Arabic …

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 …

As social media booms, abusive online practices such as hate speech have unfortunately
increased as well. As letters are often repeated in words used to construct social media …

To create a personalized E-CRM recommendation system, the electronic customer
relationship management system needs to investigate low accuracy and lack of …

Stemming is an essential step in various Natural Language Processing (NLP) applications
and is used to reduce different variants of the query words to a standard form to avoid the …

Paper recommendation with personalized methods helps researchers to track the latest
academic trends and master cutting-edge academic trends efficiently. Meanwhile, the …

Stemming is a common preprocessing method aggregating all word variants to a standard
stem to aid various Natural Language Processing (NLP) tasks. This work proposes a new …

The stemming process is crucial and significant in the pre-processing step of natural
language processing. The stemmer oversees the stemming process. It facilitates the …

Stemming is an essential step in varied Natural Language Processing (NLP) applications. It
is used to reduce different variants of the query words to a standard form to avoid the …