SemEval-2014 ABSA Train Data v2.0 & Annotation Guidelines
These datasets are distributed for Aspect Based Sentiment Analysis (ABSA), Task 4 of SemEval-2014.
The Restaurant_Train_v0.2 dataset consists of 3041 English sentences from the restaurant reviews of Ganu et al. (2009). The original dataset of Ganu et al. included annotations for coarse aspect categories and overall sentence polarities; we modified the dataset to include annotations for aspect terms occurring in the sentences, aspect term polarities, and aspect category-specific polarities. We also corrected some errors (e.g., sentence splitting errors) of the original dataset. Experienced human annotators identified the aspect terms of the sentences and their polarities.
The Laptop_Train_v0.2 dataset consists of 3045 English sentences extracted from customer reviews of laptops. Experienced human annotators tagged the aspect terms of the sentences and their polarities.
The guidelines used for the annotation.
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