Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …

Online real-time traffic flow prediction typically offers better real-time performance than
offline prediction. However, existing studies rarely discussed online real-time traffic flow …

A tremendous amount of unstructured data, such as comments, opinions, and other sorts of
data is generated in real-time with the growth of web 2.0. Due to the unstructured nature of …

Multi-source vessel automatic identification system (AIS) data gathered in the maritime
Internet of Things (IoT) system has diverse data characteristics, such as sparse satellite data …

This systematic literature review (SLR) examines recent advancements and persisting
challenges in using Gated Recurrent Units (GRU) for text classification. GRUs, a variant of …

Aspect-based sentiment analysis (ABSA) identifies mentioned aspects and predicts their
associated sentiments in sentences. With the rapid growth of users' online activities, ABSA …

Although the construction of multilinear trend fuzzy information granules (FIG) achieves a
win-win situation in terms of interpretability and trend extraction, in its second stage of …

In the study carried out in line with the stated purposes, monthly rain, humidity and
temperature data, wheat production amount, and wheat productivity data of Konya province …

Sarcasm detection in text poses significant challenges for traditional sentiment analysis, as it
often requires an understanding of context, word meanings, and emotional undertones. For …