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2016 | OriginalPaper | Buchkapitel

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

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

Erschienen in: Web Engineering

Verlag: 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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Vorheriges Kapitel When a FILTER Makes the Difference in Continuously Answering SPARQL Queries on Streaming and Quasi-Static Linked Data
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Metadaten
Titel
Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory
verfasst von
Rowan Hoogervorst
Erik Essink
Wouter Jansen
Max van den Helder
Kim Schouten
Flavius Frasincar
Maite Taboada
Copyright-Jahr
2016
Buch
Web Engineering

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

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

Copyright-Jahr: 2016

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

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