Corpus of Aspect-based Sentiment in Political Debates

We present a corpus of political debates annotated with aspect-based sentiment and a corpus analysis. The source corpus consists of transcribed speeches taken from the two presidential debates of the 2016 US election. We annotate the corpus according to two different schemata and analyze their differences. We show that the choice schema has a strong impact on the result of aspect-based sentiment analysis. Furthermore, we provide a corpus that can be used as a gold-standard for automatic aspect-based sentiment annotation of political debates

Corpus of Aspect-based Sentiment in Political Debates

We present a corpus of political debates annotated with aspect-based sentiment and a corpus analysis. The source corpus consists of transcribed speeches taken from the two presidential debates of the 2016 US election. We annotate the corpus according to two different schemata and analyze their differences. We show that the choice schema has a strong impact on the result of aspect-based sentiment analysis. Furthermore, we provide a corpus that can be used as a gold-standard for automatic aspect-based sentiment annotation of political debates