Email authorship analysis is a challenging task involving the detection of an author's style to
help determine their identity. Emails represent a widespread application of big data, and …

In the last few decades, several smart applications are designed based on user
requirements and specifications. Each requirement and specification is derived from …

Many investigations have performed sentiment analysis to gauge public opinions in various
languages, including English, French, Chinese, and others. The most spoken language in …

Spam communications from spam ads and social media platforms such as Facebook,
Twitter, and Instagram are increasing, making spam detection more popular. Many …

Terminal neurological conditions can affect millions of people worldwide and hinder them
from doing their daily tasks and movements normally. Brain computer interface (BCI) is the …

The use of text data with high dimensionality affects classifier performance. Therefore,
efficient feature selection (FS) is necessary to reduce dimensionality. In text classification …

During the last two decades significant work has been reported in the field of cursive
language's recognition especially, in the Arabic, the Urdu and the Persian languages. The …

In Natural Language Processing (NLP), topic modeling is the technique to extract abstract
information from documents with huge amount of text. This abstract information leads …

Today, the amount of Amharic digital documents has grown rapidly. Because of this,
automatic text classification is extremely important. Proper selection of features has a crucial …

Sentiment analysis is a process of dealing with people's opinions, remarks, and comments
to extract valuable insights from them. Sentiment analysis can be used for various purposes …