Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …

The implementation of Data Analytics has achieved a significant momentum across a very
wide range of domains. Part of that progress is directly linked to the implementation of Text …

Twitter is one of the most popular microblogging and social networking platforms where
massive instant messages (ie tweets) are posted every day. Twitter sentiment analysis …

Abstract Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to
train, improve, and make predictions through their algorithms. With the digital revolution and …

High-velocity data streams present a challenge to deep learning-based computer vision
models due to the resources needed to retrain for new incremental data. This study presents …

Sentiment analysis addresses the issue of interpreting the data presented in several
contexts and realms in terms of feelings, interests, and opinions. It can be useful for …

The integration of artificial intelligence (AI) and social media has provided numerous
benefits to businesses, including improved audience analysis and content optimization …

International business research often links the cultural and institutional characteristics of
countries to the features of the individuals inhabiting these countries. A distinct approach to …

Utilisation of transfer learning with deep language models is regarded as one of the most
important developments in deep learning. Their application on real-time high-velocity and …

Devices characterized as Internet of Things (IoT) have proven to be very useful in a myriad
of business sectors. The current success in being able to have multiple small-footprint …