Assessing Weight of Opinion by Aggregating Coalitions of Arguments



Rajendran, Pavithra, Bollegala, Danushka ORCID: 0000-0003-4476-7003 and Parsons, Simon
(2016) Assessing Weight of Opinion by Aggregating Coalitions of Arguments. .

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Abstract

Argument mining promises to be able to extract information from unstructured text that can help us to understand that text. This paper suggests a novel way to use such information once it has been extracted. Attack and support relations between arguments from a set of test texts are identified, the strength of the arguments is computed based on the relations, and arguments are grouped into coalitions. The resulting set of arguments is then used to predict the weight of opinion in new text, by identifying arguments whose weight has been computed, and aggregating these weights. Our approach is evaluated on a corpus of hotel reviews, and compared with an existing method of predicting the sentiment of reviews.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: argument mining, bipolar argumentation, coalitions of arguments
Depositing User: Symplectic Admin
Date Deposited: 27 Oct 2016 16:05
Last Modified: 03 Feb 2024 17:08
DOI: 10.3233/978-1-61499-686-6-431
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3003965