What is behind the globalization of technology? Exploring the interplay of multi-level drivers of international patent extension in the solar photovoltaic industry
The increasing internationalization of economic activities highlights the necessity of
expanding protections for technologies outside their home countries. Given the large scale …
expanding protections for technologies outside their home countries. Given the large scale …
[HTML][HTML] An analysis of the thematic evolution of ageing and healthcare expenditure using word embedding: a scoping review of policy implications
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 …
become a structural phenomenon in Europe and the rest of the World. This demographic …
Two-stage topic extraction model for bibliometric data analysis based on word embeddings and clustering
A Onan - IEEE Access, 2019 - ieeexplore.ieee.org
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 …
knowledge discovery, which seeks to identify significant topics from text collections. The …
Topic-level sentiment analysis of social media data using deep learning
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 …
sharing views, expressing opinions with regards to current world level events, services …
Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence
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 …
guide DT are mostly qualitative, resulting in a strong call for quantitative evidence of exactly …
Ethics and privacy of artificial intelligence: Understandings from bibliometrics
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 …
lives of human beings and a discussion of the ethical and privacy issues surrounding AI is a …
Forecasting emerging technologies using data augmentation and deep learning
Y Zhou, F Dong, Y Liu, Z Li, JF Du, L Zhang - Scientometrics, 2020 - Springer
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 …
However, it requires a large amount of labeled patent data as a training set, which is difficult …
The CSO classifier: Ontology-driven detection of research topics in scholarly articles
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 …
improve their retrievability, assist the creation of smart analytics, and support a variety of …
Topic evolution, disruption and resilience in early COVID-19 research
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 …
scientists rushed to find solutions to the devastating crisis. Drawing expectations from …
Parallel or intersecting lines? Intelligent bibliometrics for investigating the involvement of data science in policy analysis
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 …
transforming analytic findings into decisions is still far from straightforward task. Data-driven …