Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Microblogging websites and social media platforms serve as a potential source for mining
public opinions and sentiments on a variety of subjects including the prevailing situations in …

The use of sentiment analysis methods has increased in recent years across a wide range of
disciplines. Despite the potential impact of the development of opinions during political …

Recursively in history, emotions such as social anger, moral satiety, distrust of the elite and
the Establishment, among others, have all contributed to politicians' encouragement and …

Sentiment analysis is a relevant area in the natural language processing context–(NLP) that
allows extracting opinions about different topics such as customer service and political …

Twitter as a social media widely used by the public at this time. Public opinion divided into
two sentiments, namely positive or negative sentiments. Public opinion on social media …

Microblogs generate a vast amount of data in which users express their emotions regarding
almost all aspects of everyday life. Capturing affective content from these context-dependent …

Representing a valuable human-computer interaction interface, Sentiment Analysis (SA) is
applied to a wide range of problems. In the present paper, the researchers introduce a novel …

The pandemic that hit the world has greatly impacted our life. But after some time, it seems
that it will be going to end because the vaccine has already been made. In response to this …