SPOT (Sentiment Polarity Annotations Dataset)
Introduced by Angelidis et al. in Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
The SPOT dataset contains 197 reviews originating from the Yelp'13 and IMDB collections ([1][2]), annotated with segment-level polarity labels (positive/neutral/negative). Annotations have been gathered on 2 levels of granulatiry:
- Sentences
- Elementary Discourse Units (EDUs), i.e. sub-sentence clauses produced by a state-of-the-art RST parser
This dataset is intended to aid sentiment analysis research and, in particular, the evaluation of methods that attempt to predict sentiment on a fine-grained, segment-level basis.
Source: SPOTPapers
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