Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

Nowadays, machine-based conversational systems known as chatbots have emerged for
many applications in our lives. Chatbots are intelligent tools that use the concept of Artificial …

The dimensionality reduction is a type of problem that appear in the most classification
processes. It contains a large number of features; these features may contain unreliable data …

Network Intrusion Detection Systems (NIDS) are essential to maintaining network security.
This study is concerned with develo** an Intrusion Detection System (IDS) based on …

" Fake News (FNs) is defined as a made-up story to deceive or to mislead." The problem of
FNs spread widely in recent years, especially on social media such as Facebook, Twitter …

Recently, Big Data is gathered from various sources in different types, and it is not easy to
analyze them by traditional methods. Apache Hadoop is a robust solution to the problems of …

A systematic and state-of-art review of Part-of-Speech (POS) taggers is presented in this
work. This paper explains the strategies, followed by researchers, in the domain of text …

Sentiment analysis is important for comprehending attitudes and emotions, and popular
social media platform X (formally Twitter) is useful in this context. For sentiment analysis of …

The smart grid is a kind of leap in the power grid that emerged to improve electrical service
and reduce losses. This work tackles the stability detection problem in smart grids using …

Food has an impact on everyone's daily life, the long‐term stability of the nation, human
survival and development, people's lives and health, and the steady advancement of …