Generating Aspect-based Extractive Opinion Summary: Drawing Inferences from Social Media Texts

Rajesh Piryani, Vedika Gupta, Vivek Kumar Singh


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.


Aspect-level sentiment analysis, Laptop, Polarity, Sentiment summarization, big data

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