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2016 | OriginalPaper | Chapter

Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory

Authors : Rowan Hoogervorst, Erik Essink, Wouter Jansen, Max van den Helder, Kim Schouten, Flavius Frasincar, Maite Taboada

Published in: Web Engineering

Publisher: Springer International Publishing

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Abstract

Fine-grained sentiment analysis on the Web has received much attention in recent years. In this paper we suggest an approach to Aspect-Based Sentiment Analysis that incorporates structural information of reviews by employing Rhetorical Structure Theory. First, a novel way of determining the context of an aspect is presented, after which a full path analysis is performed on the found context tree to determine the aspect sentiment. Comparing the proposed method to a baseline model, which does not use the discourse structure of the text and solely relies on a sentiment lexicon to assign sentiments, we find that the proposed method consistently outperforms the baseline on three different datasets.

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Metadata
Title
Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory
Authors
Rowan Hoogervorst
Erik Essink
Wouter Jansen
Max van den Helder
Kim Schouten
Flavius Frasincar
Maite Taboada
Copyright Year
2016
Book
Web Engineering

Print ISBN: 978-3-319-38790-1

Electronic ISBN: 978-3-319-38791-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-38791-8_18

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