People in the Arab world prefer to use their dialects in writing while using social media sites
which results in generating a significant amount of texts. Sentiment analysis in texts is one of …

Arabic affect analysis on Twitter avidly helps to capture the emotional states of individuals
being expressed regarding many targets, such as world-level events, products, and …

Now-a-days people use social media websites for different activities such as business,
entertainment, following the news, expressing their thoughts, feelings, and much more. This …

Affect analysis has recently attracted a great deal of attention due to the rapid development
of online social platforms (ie, Twitter, Facebook). Affect analysis is a part of a broader area of …

Recently, extensive studies and research in the Arabic Natural Language Processing
(ANLP) field have been conducted for text classification and sentiment analysis. Moreover …

Arabic is one of the world's most widely spoken languages, and there is a huge amount of
digital content available in Arabic. By the categorization of Arabic documents, it becomes …

Emotions are essential to any or all languages and are notoriously challenging to grasp. The
textual data with embedded emotions has increased considerably with the Internet and …

Textual emotion recognition (TER) has significant commercial potential since it can be used
as an excellent tool to monitor a brand/business reputation, understand customer …

The emergence of social media platforms, which contributed in activating the patterns of
connection between individuals, leads to the availability of a huge amount of content such …

The success of handwriting recognition methods based on digitizer-pen signal processing is
mostly dependent on the defined features. Strong and discriminating feature descriptors can …