Quantitative Text Analysis & Machine Learning

A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports
Campaign Communication and Legislative Leadership
Mapping Digital Campaign Strategies: How Political Candidates Use Social Media to Communicate Constituency Connection and Policy Stance
What the 2024 Party Manifestos Reveal: Issue Salience and Left-Right Positions
Discourse Wars and 'Mask Diplomacy': China's Global Image Management in Times of Crisis
Legislating Landlords: Private Interests, Issue Emphasis, and Policy Positions
Nostalgia in European Party Politics: A Text-Based Measurement Approach
Leader of the Pack? Changes in ‘Wolf Warrior Diplomacy’ After a Politburo Collective Study Session
Quanteda Tutorials
Reactions to Experts in Deliberative Democracy: The 2016–2018 Irish Citizens’ Assembly
Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates
quanteda: An R Package for the Quantitative Analysis of Textual Data