Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

Using a probabilistic approach for exploring latent patterns in high-dimensional co-
occurrence data, topic models offer researchers a flexible and open framework for soft …

Smart wearable devices have become one of the most popular interactive items in the
“smart” era that prioritizes “mobility.” There is significant scholarly interest in not only …

Methods for document clustering and topic modelling in online social networks (OSNs) offer
a means of categorising, annotating and making sense of large volumes of user generated …

This study aims to deepen our understanding of the underlying factors affecting the intention
to continue using increasingly popular wearable technology. A new theoretical model is …

The purpose of this study is to examine possible factors that influence continuance intention
to use a smartwatch. The proposed research model is based on the expectation confirmation …

Nowadays, smart wearable technology comes up to different sectors and is gaining
momentum to be implemented in everyday objects. Smartwatches are the most popular type …

Since urban problems are increasingly becoming complex and multifaceted due to the rapid
urbanization, interest in the development of smart cities as an efficient solution to such …

Data mining project managers can benefit from using standard data mining process models.
The benefits of using standard process models for data mining, such as the de facto and the …

Topic modeling is a Natural Language Processing technique that has gained popularity over
the last ten years, with applications in multiple fields of knowledge. However, there is …