Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

Most studies analyzing political traffic on Social Networks focus on a single platform, while
campaigns and reactions to political events produce interactions across different social …

Online sentiment analysis has emerged as a crucial component in numerous data-driven
applications, including social media monitoring, customer feedback analysis, and online …

Social media platforms provide users with various ways of interacting with each other, such
as commenting, reacting to posts, sharing content, and uploading pictures. Facebook is one …

Twitter is one of the popular social media platforms where people share news or reactions
towards an event or topic using short text messages called" tweets". Emotion analysis in …

Web 2.0'ın yükselişi ile doğan mikroblog siteleri, bloglar, forumlar, sosyal medya platformları,
insanların varlıklar, olaylar, günlük faaliyetler, küresel sorunlar gibi konularda fikirlerini …

The rapid development and dominance of social media platforms has created both new
opportunities and issues for individuals. Consequently, many researchers have been urged …

Text classification is one of the most important task in natural language processing, In this
research, we carried out several experimental research on three (3) of the most popular Text …

Microblogging services are playing increasingly important roles in our daily life today. It is
useful for microblog users to instantly understand the sentiment of a large number of …

Psychological stress is ominous person's health. It is non-trivial to detect stress timely for
proactive care. With the attractive of social media, person are used to sharing their daily task …