Thanks to the advances in public health and medical sciences, the increasing of elderly has
become a structural phenomenon in Europe and the rest of the World. This demographic …

The increasing internationalization of economic activities highlights the necessity of
expanding protections for technologies outside their home countries. Given the large scale …

Topic extraction is an essential task in bibliometric data analysis, data mining and
knowledge discovery, which seeks to identify significant topics from text collections. The …

Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …

Digital transformation (DT) is prevalent in businesses today. However, current studies to
guide DT are mostly qualitative, resulting in a strong call for quantitative evidence of exactly …

Artificial intelligence (AI) and its broad applications are disruptively transforming the daily
lives of human beings and a discussion of the ethical and privacy issues surrounding AI is a …

Deep learning can be used to forecast emerging technologies based on patent data.
However, it requires a large amount of labeled patent data as a training set, which is difficult …

Classifying research papers according to their research topics is an important task to
improve their retrievability, assist the creation of smart analytics, and support a variety of …

The COVID-19 pandemic presented a challenge to the global research community as
scientists rushed to find solutions to the devastating crisis. Drawing expectations from …

Efforts to involve data science in policy analysis can be traced back decades but
transforming analytic findings into decisions is still far from straightforward task. Data-driven …