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@@ -74,9 +74,9 @@ The predefined list of Aspect Categories for this dataset are:
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  ## Annotation Scheme
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- The FABSA dataset is manually labelled against a hierarchical annotation scheme which consists of parent and child aspect categories. Each aspect category is associated with a sentiment label (positive, negative and neutral). This creates a total of (12 × 3) target classification categories.
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- Following previous work, we adopt a multi-label classification scheme wherein each review is labelled with one or more aspect sentiment label. Accordingly, a single review may contain multiple different aspects and express different (and in some cases contrasting) polarities. For example
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  ```
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  Customer Review:
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  “product is very good but customer service is really bad, they never respond”
 
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  ## Annotation Scheme
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+ The FABSA dataset is manually labeled according to a hierarchical annotation scheme that includes parent and child aspect categories. Each aspect category comes with an associated sentiment label (positive, negative, and neutral), creating a total of (12 × 3) target classification categories.
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+ In line with prior studies, we employ a multi-label classification scheme where each review is tagged with one or more aspect + sentiment labels. Thus, a single review can cover multiple aspects and express various (sometimes contrasting) polarities. For example,
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  ```
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  Customer Review:
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  “product is very good but customer service is really bad, they never respond”