Günümüzde yaygınlaşan internet ve sosyal medya kullanımının artmasıyla ortaya çıkan
büyük verinin, analiz edilerek anlamlı bilgiye dönüştürülmesi oldukça büyük bir öneme …

With the increment of Internet usage, there has been a significant increase in the access and
interaction of users in social media, blogs, forums, and criticism sites recently. With social …

Sentiment analysis using stemmed Twitter data from various languages is an emerging
research topic. In this paper, we address three data augmentation techniques namely Shift …

Emotion recognition has become an increasingly important area of research due to the
increasing number of CCTV cameras in the past few years. Deep network-based methods …

Objectives: The present study aims to examine coronavirus disease 2019 (COVID-19)
vaccination discussions on Twitter in Turkey and conduct sentiment analysis. Methods: The …

Emotion categorization can be the process of identifying different emotions in humans based
on their facial expressions. It requires time and sometimes it is hard for human classifiers to …

Digital information is continuously generated from various sources such as social media,
user reviews for services. The processing of this written information to extract user opinions …

Opinion mining has witnessed significant advancements in well-resourced languages.
However, for low-resource languages, this landscape remains relatively unexplored. This …

Public money is invested in the Indian Stock market through retail investors, Foreign
institutional investors, Domestic Institutional investors. In recent times, the participation of …

In recent years, sentiment analysis has gained increasing significance, prompting
researchers to explore datasets in various languages, including Turkish. However, the …