Title: A survey on contrastive opinion summarisation

Authors: S.K. Lavanya; B. Parvathavarthini

Addresses: Department of CSE, Jerusalem College of Engineering, Pallikaranai, 100, Chennai, India ' Department of CSE, St. Joseph's College of Engineering, Semmencherry, 119, Chennai, India

Abstract: Contrastive opinion summarisation (COS) is jointly generating summaries for two entities in order to highlight their differences based on the features. COS comprises of feature extraction, Sentiment prediction and summarisation. Recently, the research focus in COS has been in using semantics associated with words and multi-word expressions to shift from syntactic to semantic level. This survey paper covers different methods used for feature extraction, various similarity measures and different types of summarisation. In addition to these, various datasets and performance measures are also addressed. Finally, future research directions are also suggested.

Keywords: opinion mining; feature-based opinion summarisation; feature extraction; sentiment prediction; contrastive opinion summarisation; COS.

DOI: 10.1504/IJRIS.2019.099851

International Journal of Reasoning-based Intelligent Systems, 2019 Vol.11 No.2, pp.141 - 150

Received: 11 Aug 2017
Accepted: 10 Mar 2018
Published online: 24 May 2019 *

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