Multi-document summarisation using feature distribution analysis
by Jae-Young Chang
International Journal of Computational Vision and Robotics (IJCVR), Vol. 10, No. 2, 2020

Abstract: Recently, opinion documents have been growing rapidly in an environment where anyone can express an opinion on the internet or SNS. This situation requires an automatic summarisation technique in order to understand the contents of large-scale opinion documents. However, it is not easy to summarise the opinion documents with previous text summarisation technologies since the opinion documents include subject expressions, as well as features of targets objects. In this paper, a method to identify and extract the representative documents with a large amount of opinion documents is proposed. In addition, experiments show that the proposed method successfully extracts representative opinion documents.

Online publication date: Wed, 04-Mar-2020

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