43 citations · 133 across the 18 of their papers we have counts for
30 papers
CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets
Isabelle Mohr, Amelie Wührl, Roman Klinger
Over the course of the COVID-19 pandemic, large volumes of biomedical information concerning this new disease have been published on social media. Some of this information can pose…
Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)
Amelie Wührl, Roman Klinger
Text mining and information extraction for the medical domain has focused on scientific text generated by researchers. However, their direct access to individual patient experience…
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations
Enrica Troiano, Laura Oberländer, Maximilian Wegge +1
Emotion classification is often formulated as the task to categorize texts into a predefined set of emotion classes. So far, this task has been the recognition of the emotion of wr…
"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words
Valentino Sabbatino, Enrica Troiano, Antje Schweitzer +1
People associate affective meanings to words - "death" is scary and sad while "party" is connotated with surprise and joy. This raises the question if the association is purely a p…
Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users
Anne Kreuter, Kai Sassenberg, Roman Klinger
Machine-learned models for author profiling in social media often rely on data acquired via self-reporting-based psychometric tests (questionnaires) filled out by social media user…
On the Complementarity of Images and Text for the Expression of Emotions in Social Media
Anna Khlyzova, Carina Silberer, Roman Klinger
Authors of posts in social media communicate their emotions and what causes them with text and images. While there is work on emotion and stimulus detection for each modality separ…