opinosis

• Description:

The Opinosis Opinion Dataset consists of sentences extracted from reviews for 51 topics. Topics and opinions are obtained from Tripadvisor, Edmunds.com and Amazon.com.

• Additional Documentation: Explore on Papers With Code

• Homepage: http://kavita-ganesan.com/opinosis/

• Source code: tfds.datasets.opinosis.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 739.65 KiB

• Dataset size: 725.45 KiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'train'	51

• Feature structure:

FeaturesDict({
    'review_sents': Text(shape=(), dtype=string),
    'summaries': Sequence(Text(shape=(), dtype=string)),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
review_sents	Text		string
summaries	Sequence(Text)	(None,)	string

• Supervised keys (See as_supervised doc): ('review_sents', 'summaries')

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@inproceedings{ganesan2010opinosis,
  title={Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions},
  author={Ganesan, Kavita and Zhai, ChengXiang and Han, Jiawei},
  booktitle={Proceedings of the 23rd International Conference on Computational Linguistics},
  pages={340--348},
  year={2010},
  organization={Association for Computational Linguistics}
}