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Aspect ontologies - groups of (hierarchically organized) opinion aspects for supporting opinion mining tasks, including the domains of smartphones, digital cameras and books, in OWL format.

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SSC-logo-300x171 Screenshot from 2019-08-22 12-36-57

#Semantic resource for aspect-based sentiment analysis and text summarization applications from product reviews in Portuguese.

In this path, we have available three taxonomies that may be employed in aspect-based sentiment analysis and text summarization applications. The Aspect ontologies - groups of (hierarchically organized) opinion aspects for supporting opinion mining tasks, including the domains of smartphones, digital cameras and books, in OWL format.

HOW MAY I KNOW HOw IT WAS CREATED?

For more instructios about this resources, you can read the following paper: http://conteudo.icmc.usp.br/pessoas/taspardo/. There is also the following tecnical report: http://conteudo.icmc.usp.br/pessoas/taspardo/.

HOW MAY I CITE THIS RESOURCE?

Vargas, F.A. and Pardo, T.A.S. (2017). Clustering and hierarchical organization of opinion aspects: a corpus study. XIV Encontro de Linguística de Corpus (ELC), pp. 1-10. August 17-18. São Leopoldo-RS/Brazil.

ACKNOWLEDGEMENT

The authors are grateful to CAPES, FAPESP and USP Research Office for supporting this work.

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Aspect ontologies - groups of (hierarchically organized) opinion aspects for supporting opinion mining tasks, including the domains of smartphones, digital cameras and books, in OWL format.

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