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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2408.07955 |
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| _version_ | 1866911989553430528 |
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| author | Hellwig, Nils Constantin Fehle, Jakob Bink, Markus Wolff, Christian |
| author_facet | Hellwig, Nils Constantin Fehle, Jakob Bink, Markus Wolff, Christian |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07955 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis Hellwig, Nils Constantin Fehle, Jakob Bink, Markus Wolff, Christian Computation and Language 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. |
| title | GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2408.07955 |