Text Analysis, Machine Learning, LLMs

Quanteda Tutorials
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
Reactions to Experts in Deliberative Democracy: The 2016–2018 Irish Citizens’ Assembly
The Temporal Focus of Campaign Communication
Gender, Candidate Emotional Expression, and Voter Reactions During Televised Debates
Media Coverage of Campaign Promises Throughout the Electoral Cycle
quanteda: An R Package for the Quantitative Analysis of Textual Data