Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

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 …

In the last two decades, the amount of available Arabic text data on the World Wide Web is
dramatically growing, making it the fourth most used language on the web. Accordingly, the …

Text annotation is an essential element of the natural language processing approaches. The
manual annotation process performed by humans has various drawbacks, such as …

Pseudo-relevance feedback (PRF) is a very effective query expansion approach, which
reformulates queries by selecting expansion terms from top k pseudo-relevant documents …

Abstract Semantic Text Similarity (STS) has several and important applications in the field of
Natural Language Processing (NLP). The Aim of this study is to investigate the effect of …

Stemming algorithms are crucial tools for enhancing the information retrieval process in
natural language processing. This paper presents a novel Arabic light stemming algorithm …

Text preprocessing plays an important role in natural language processing (NLP) tasks
containing text classification, sentiment analysis, and machine translation. The …

The amount of Arabic content on the Internet is being proliferated day by day, scoring the
highest growth among the top online languages during the last two decades. Arabic is the …