Datasets:
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Update README.md
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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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A triple professionally annotated ABSA dataset, specifically for Aspect Category Sentiment Analysis dataset which can be used for Aspect Category Detection (ACD) and Aspect Category Sentiment Classification (ACSC).
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Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. These categories are conceptual, i.e. they do not necessarily explicitly appear in the text, and come from a predefined list of Aspect Categories.
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Aspect Category Sentiment Classification (ACSC) aims to classify the sentiment polarities of the conceptual aspect categories.
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The predefined list of Aspect Categories for this dataset are:
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```
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category category_code
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0 Account management: Account access account-management.account-access
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1 Company brand: Competitor company-brand.competitor
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2 Company brand: General satisfaction company-brand.general-satisfaction
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3 Company brand: Reviews company-brand.reviews
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4 Logistics rides: Speed logistics-rides.speed
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5 Online experience: App website online-experience.app-website
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6 Purchase booking experience: Ease of use purchase-booking-experience.ease-of-use
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7 Staff support: Attitude of staff staff-support.attitude-of-staff
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8 Staff support: Email staff-support.email
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9 Staff support: Phone staff-support.phone
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10 Value: Discounts promotions value.discounts-promotions
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11 Value: Price value for money value.price-value-for-money
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```
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## Annotation
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Two annotators have extensive experience in developing manually labelled ABSA datasets for a commercial company, but do not have a formal background/education related to linguistics. The third annotator has a PhD in computational linguistics and is assumed to be an expert tagger.
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