Systematic review, meta‐analysis and other forms of evidence synthesis are critical to
strengthen the evidence base concerning conservation issues and to answer ecological and …

Much of the data available today is unstructured and text-heavy, making it challenging for
analysts to apply their usual data wrangling and visualization tools. With this practical book …

Summary The tidytext package (Silge, Robinson, and Hester 2016) is an R package (R Core
Team 2016) for text mining using tidy data principles. As described by Hadley Wickham …

Automated text analysis allows researchers to analyze large quantities of text. Yet,
comparative researchers are presented with a big challenge: across countries people speak …

Computational text analysis has become an exciting research field with many applications in
communication research. It can be a difficult method to apply, however, because it requires …

This paper demonstrates how to use the R package stm for structural topic modeling. The
structural topic model allows researchers to flexibly estimate a topic model that includes …

Every year at the United Nations (UN), member states deliver statements during the General
Debate (GD) discussing major issues in world politics. These speeches provide invaluable …

Existing approaches to measuring political disagreement from text data perform poorly
except when applied to narrowly selected texts discussing the same issues and written in …

We developed a novel conceptualization of one component of creativity in narratives by
integrating creativity theory and distributional semantics theory. We termed the new …

Scientific issues requiring urgent societal actions—such as climate change—have increased
the need for communication and interaction between scientists and other societal actors …