GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis

TL;DR

GERestaurant is a new German restaurant review dataset with detailed annotations for aspect-based sentiment analysis, enabling research in German ABSA tasks and filling a language resource gap.

Contribution

The paper introduces GERestaurant, a comprehensive German restaurant review dataset with detailed annotations for multiple ABSA tasks, supporting future research.

Findings

Provides baseline scores for four ABSA tasks.

Includes 3,078 manually annotated reviews.

Fills a gap in German language ABSA resources.

Abstract

We present GERestaurant, a novel dataset consisting of 3,078 German language restaurant reviews manually annotated for Aspect-Based Sentiment Analysis (ABSA). All reviews were collected from Tripadvisor, covering a diverse selection of restaurants, including regional and international cuisine with various culinary styles. The annotations encompass both implicit and explicit aspects, including all aspect terms, their corresponding aspect categories, and the sentiments expressed towards them. Furthermore, we provide baseline scores for the four ABSA tasks Aspect Category Detection, Aspect Category Sentiment Analysis, End-to-End ABSA and Target Aspect Sentiment Detection as a reference point for future advances. The dataset fills a gap in German language resources and facilitates exploration of ABSA in the restaurant domain.