A substantial portion of today's multimedia data exists in the form of unstructured text.
However, the unstructured nature of text poses a significant task in meeting users' …

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 classification and categorization have become one of the required fields that are
increasingly employed in different aspects, especially when social media applications …

With the wide spread of short texts through social media platforms, there has become a
growing need for effective methods for short-text classification. However, short-text …

In the past few years, web documents, blogs, and reviews have played an important role in
many fields as organizations always aim to find consumer or public opinions about their …

The performance of learning models heavily relies on the availability and adequacy of
training data. To address the dataset adequacy issue, researchers have extensively …

The manual process of scoring short answers of Arabic essay questions is exhaustive,
susceptible to error and consumes instructor's time and resources. This paper explores …

This research argues that providing the students with the same material in different methods
that correspond to their skills would guarantee their satisfaction as well as their level of …

Clustering a stream of text documents is an emerging subject of interest since it is widely
used in analysing the content in social media and e-journals. The aim is to find a certain …

Text classification emerged as one of the main applications of natural language processing
tasks such as topical analysis, sentiment analysis, and news classification where several …