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2017 | OriginalPaper | Chapter

Aspect-Based Opinion Mining Using Knowledge Bases

Authors : Marco Federici, Mauro Dragoni

Published in: Semantic Web Challenges

Publisher: Springer International Publishing

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Abstract

In the last decade, the focus of the Opinion Mining field moved to detection of the pairs “aspect-polarity” instead of limiting approaches in the computation of the general polarity of a text. In this work, we propose an aspect-based opinion mining system based on the use of semantic resources for the extraction of the aspects from a text and for the computation of their polarities. The proposed system participated at the third edition of the Semantic Sentiment Analysis (SSA) challenge took place during ESWC 2017 achieving the runner-up place in the Task #2 concerning the aspect-based sentiment analysis. Moreover, a further evaluation performed on the SemEval 2015 benchmarks demonstrated the feasibility of the proposed approach.

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previous chapter Language Independent Sentiment Analysis of the Shukran Social Network Using Apache Spark

next chapter The IRMUDOSA System at ESWC-2017 Challenge on Semantic Sentiment Analysis

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Title: Aspect-Based Opinion Mining Using Knowledge Bases
Authors: Marco Federici
Mauro Dragoni
Publisher: Springer International Publishing
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_13

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