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MOCHA2017: The Mighty Storage Challenge at ESWC 2017 Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Opinion Mining with a Clause-Based Approach

Authors : Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern

Published in: Semantic Web Challenges

Publisher: Springer International Publishing

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Abstract

With different social media and commercial platforms, users express their opinion about products in a textual form. Automatically extracting the polarity (i.e. whether the opinion is positive or negative) of a user can be useful for both actors: the online platform incorporating the feedback to improve their product as well as the client who might get recommendations according to his or her preferences. Different approaches for tackling the problem, have been suggested mainly using syntactic features. The “Challenge on Semantic Sentiment Analysis” aims to go beyond the word-level analysis by using semantic information. In this paper we propose a novel approach by employing the semantic information of grammatical unit called preposition. We try to derive the target of the review from the summary information, which serves as an input to identify the proposition in it. Our implementation relies on the hypothesis that the proposition expressing the target of the summary, usually containing the main polarity information.

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previous chapter The IRMUDOSA System at ESWC-2017 Challenge on Semantic Sentiment Analysis
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Metadata
Title
Opinion Mining with a Clause-Based Approach
Authors
Andi Rexha
Mark Kröll
Mauro Dragoni
Roman Kern
Copyright Year
2017
Book
Semantic Web Challenges

Print ISBN: 978-3-319-69145-9

Electronic ISBN: 978-3-319-69146-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69146-6_15