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ESWC’14 Challenge on Concept-Level Sentiment Analysis Read chapter Read first chapter

2014 | OriginalPaper | Chapter

A Fuzzy System for Concept-Level Sentiment Analysis

Authors : Mauro Dragoni, Andrea G. B. Tettamanzi, Célia da Costa Pereira

Published in: Semantic Web Evaluation Challenge

Publisher: Springer International Publishing

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Abstract

An emerging field within Sentiment Analysis concerns the investigation about how sentiment concepts have to be adapted with respect to the different domains in which they are used. In the context of the Concept-Level Sentiment Analysis Challenge, we presented a system whose aims are twofold: (i) the implementation of a learning approach able to model fuzzy functions used for building the relationships graph representing the appropriateness between sentiment concepts and different domains (Task 1); and (ii) the development of a semantic resource based on the connection between an extended version of WordNet, SenticNet, and ConceptNet, that has been used both for extracting concepts (Task 2) and for classifying sentences within specific domains (Task 3).

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previous chapter ESWC’14 Challenge on Concept-Level Sentiment Analysis
next chapter Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts
Footnotes
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Metadata
Title
A Fuzzy System for Concept-Level Sentiment Analysis
Authors
Mauro Dragoni
Andrea G. B. Tettamanzi
Célia da Costa Pereira
Copyright Year
2014
Book
Semantic Web Evaluation Challenge

Print ISBN: 978-3-319-12023-2

Electronic ISBN: 978-3-319-12024-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-12024-9_2