Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …

Text classification is a prominent research area, gaining more interest in academia, industry
and social media. Arabic is one of the world's most famous languages and it had a …

The exponential growth of digital information, particularly user-generated content on social
media and blogging platforms, has underscored the importance of sentiment analysis (SA) …

Sentiment analysis is a tool used to determine the polarity (positive or negative) of texts
using natural language processing techniques. It is one of the methods used to determine …

During the last decades, the reliance on email communication, especially in business, has
increased significantly. Companies receive a massive amount of emails daily, that include …

Nowadays, web-based social networking remain intuitive and further easy to use in nature.
The scenario of purchasing products online has improved dramatically which has resulted in …

In light of the current uneven distribution of aerobics course online resources, this paper
presents research on the classification method of aerobics course online teaching resources …

For the online teaching of English and the allocation of environmental resources, the
conventional methods are difficult to adapt to the increased load in time when the business …

Deep learning algorithms can identify related tweets to reduce the information overload that
prevents humanitarian organisations from using valuable Twitter posts. However, they rely …

The rapid growth of social networking and micro-blogging websites has motivated
researchers to analyze published content to identify and predict human behavior. With the …