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Computación y Sistemas

versión impresa ISSN 1405-5546

Resumen

PIRYANI, Rajesh; GUPTA, Vedika  y  SINGH, Vivek Kumar. Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts. Comp. y Sist. [online]. 2018, vol.22, n.1, pp.83-91. ISSN 1405-5546.  https://doi.org/10.13053/cys-22-1-2784.

This paper presents an integrated framework to generate extractive aspect-based opinion summary from a large volume of free-form text reviews. The framework has three major components: (a) aspect identifier to determine the aspects in a given domain; (b) sentiment polarity detector for computing the sentiment polarity of opinion about an aspect; and (c) summary generator to generate opinion summary. The framework is evaluated on SemEval-2014 dataset and obtains better results than several other approaches.

Palabras llave : Aspect-level sentiment analysis; laptop; polarity; sentiment summarization; big data.

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