5 citations · 8 across the 4 of their papers we have counts for
4 papers
Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord
Jan Fillies, Silvio Peikert, Adrian Paschke
With the rise of social media, a rise of hateful content can be observed. Even though the understanding and definitions of hate speech varies, platforms, communities, and legislatu…
TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data
Malik Yousef, Jamal Al Qundus, Silvio Peikert +1
In this paper, we introduce a novel approach named TopicsRanksDC for topics ranking based on the distance between two clusters that are generated by each topic. We assume that our…
AI supported Topic Modeling using KNIME-Workflows
Jamal Al Qundus, Silvio Peikert, Adrian Paschke
Topic modeling algorithms traditionally model topics as list of weighted terms. These topic models can be used effectively to classify texts or to support text mining tasks such as…
ROC: An Ontology for Country Responses towards COVID-19
Jamal Al Qundus, Ralph Schäfermeier, Naouel Karam +2
The ROC ontology for country responses to COVID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic. It follows semantic standardization (W3C stan…