Emotions are important in communication to effectively convey messages and to understand
reactions to messages. Large scale studies of communication need methods to detect …

With the widespread usage of social networks, forums and blogs, customer reviews
emerged as a critical factor for the customers' purchase decisions. Since the beginning of …

This paper presents a sentiment analysis combining the lexicon-based and machine
learning (ML)-based approaches in Turkish to investigate the public mood for the prediction …

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

With the proliferation of the Internet's social digital content, sentiment analysis (SA) has
gained a wide research interest in natural language processing (NLP). A few significant …

Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity
resources that indicate the sentiment polarity of words are commonly used in different …

Online content providers, such as news portals and social media platforms, constantly seek
new ways to attract large shares of online attention by kee** their users engaged. A …

The multi-label customer reviews classification task aims to identify the different thoughts of
customers about the product they are purchasing. Due to the impact of the COVID-19 …

The rapid growth of social media, news sites, and blogs increases the opportunity to express
and share an opinion on the Internet. Researchers from different fields take advantage of …

While sentiment analysis is a popular research area, most of the research has been
conducted for English and the number of studies for Turkish are rather limited. Limited …