Different types of pandemics that have appeared from time to time have changed many
aspects of daily life. Some governments encourage their citizens to use certain applications …

This paper proposes a system to analyze the sentiments of tweeters. It is to build an accurate
model to detect different emotions in a tweet. The analysis takes place through several …

The linguistics related research and particularly, sentiment analysis using data-driven
approaches, has been growing in recent years. However, the large number of users and …

The subject of sentiment analysis through social media sites has witnessed significant
development due to the increasing reliance of people on social media in advertising and …

Sentiment analysis is an important study topic with diverse application domains including
social network monitoring and automatic analysis of the body of natural language …

The process of stemming is considered as one of the most essential steps in natural
language processing and retrieving information. Nevertheless, in Arabic language, the task …

This chapter presented an analysis of the application of lexicon-based political sentiment
analysis in social media. The aim is to identify the most frequently used lexicons in political …

Automated sentiment analysis of textual data is one of the central and most challenging
tasks in political communication studies. However, the toolkits available are primarily for …

The number of Websites and the volume of posts published on the Internet have increased
dramatically in recent years. The ability to automatically assess the political polarity of a post …

Similar to most spoken languages worldwide, Arabic language is facing a significant
problem with the rapid spread of fake information, which requires effective methods to detect …