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 …

Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …

Sentiment classification, a crucial task in natural language processing, plays a significant
role in deciphering sentiment expressions within textual data. In previous work, the text …

Time series exist across a plethora of domains such as sensors, market prices, network
traffic, and health monitoring. Modelling time series data allows researchers to perform trend …

Automated image categorization is vital for computational social science, particularly
considering the rise of visual content on social media, as it helps the identification of …

Ascertaining the truthfulness and trustworthiness of information posted on social media has
been challenging with the proliferation of unsubstantiated, misleading, and inciting news …

This research introduces a novel, data-driven framework designed to enhance the e-
commerce experience for consumers. The framework assists users in making more informed …

Open source software (OSS) environments offer students and researchers the opportunity to
develop a wide range of applications and models in the field of artificial intelligence. As a …

Açık Kaynak Kodlu (AKK) yazılım ortamları öğrencilere ve araştırmacılara yapay zeka
alanında geniş uygulama yapma ve model geliştirme imkanı sunmaktadır. Teknolojinin …

Sentiment analysis using scene text images is complex and challenging because it has an
arbitrary background, and the method should rely on only visual features. Unlike most …