Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

We map the topic structure of psychology utilizing a sample of over 500,000 abstracts of
research articles and conference proceedings spanning two decades (1995–2015). To do …

In this paper we propose an open source application called LDAShiny, which provides a
graphical user interface to perform a review of scientific literature using the latent Dirichlet …

Context: The opioid epidemic is a major US public health crisis. Its scope prompted
significant public outreach, but this response triggered a series of journalistic articles …

Modern Data Science with R is a comprehensive data science textbook for undergraduates
that incorporates statistical and computational thinking to solve real-world problems with …

The English prefixes near-, pseudo-and quasi-are privative, in that whatever essential
property their morphological base expresses is not strictly possessed by an entity …

While the emergence of big data raises concerns regarding governance and public policy, it
also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a …

Responding to calls to take a more active role in communicating their research findings,
scientists are increasingly using open online platforms, such as Twitter, to engage in science …

Background The COVID-19 pandemic has caused numerous casualties, overloaded
hospitals, reduced the wellbeing of many and had a substantial negative economic impact …

Online social networks (OSNs) such as Facebook, Instagram and Twitter provide a unique
channel of communication between individuals, groups and organizations. This …