Paper-Conference

Recognizing Song Mood and Theme: Clustering-based Ensembles

Maximilian Mayerl, Michael Vötter, Andreas Peintner, Günther Specht, Eva Zangerle

Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups

Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle

Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19

Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro Melchiorre, Markus Schedl

A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter---Notebook for PAN at CLEF 2020

Clemens Hörtenhuemer, Eva Zangerle

Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection

Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Ilia Markov, Maximilian Mayerl, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle

Overview of the Style Change Detection Task at PAN 2020

Eva Zangerle, Maximilian Mayerl, Günther Specht, Martin Potthast, Benno Stein

Comparing Lyrics Features for Genre Recognition

Maximilian Mayerl, Michael Vötter, Manfred Moosleitner, Eva Zangerle

Comparing Lyrics Features for Genre Recognition

Maximilian Mayerl, Michael Vötter, Manfred Moosleitner, Eva Zangerle

Personality Bias of Music Recommendation Algorithms

Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl

Shared Tasks on Authorship Analysis at PAN 2020

Janek Bevendorff, Bilal Ghanem, Anastasia Giachanou, Mike Kestemont, Enrique Manjavacas, Martin Potthast, Francisco Rangel, Paolo Rosso, Günther Specht, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Eva Zangerle