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

2014 | OriginalPaper | Chapter

Semantic Lexicon Expansion for Concept-Based Aspect-Aware Sentiment Analysis

Authors : Anni Coden, Dan Gruhl, Neal Lewis, Pablo N. Mendes, Meena Nagarajan, Cartic Ramakrishnan, Steve Welch

Published in: Semantic Web Evaluation Challenge

Publisher: Springer International Publishing

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Abstract

We have developed a prototype for sentiment analysis that is able to identify aspects of an entity being reviewed, along with the sentiment polarity associated to those aspects. Our approach relies on a core ontology of the task, augmented by a workbench for bootstrapping, expanding and maintaining semantic assets that are useful for a number of text analytics tasks. The workbench has the ability to start from classes and instances defined in an ontology and expand their corresponding lexical realizations according to target corpora. In this paper we present results from applying the resulting semantic asset to enhance information extraction techniques for concept-level sentiment analysis. Our prototype(Demo at http://​bit.​ly/​1svngDi) is able to perform SemSA’s Elementary Task (Polarity Detection), Advanced Task #1 (Aspect-Based Sentiment Analysis), and Advanced Task #3 (Topic Spotting).

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previous chapter Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts
next chapter Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis
Footnotes
1
This process is currently handled manually, but algorithmic support is possible.
 
2
We used the same categories as the SemEval’14 Task 4.
 
Literature
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Blinov, P., Kotelnikov, E.: Distributed representations of words for aspect-based sentiment analysis at SemEval. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 140–144 (2014)
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Cambria, E., Schuller, B., Xia, Y., Havasi, C.: New avenues in opinion mining and sentiment analysis. IEEE Intell. Syst. 28(2), 15–21 (2013)CrossRef
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Mendes, P., Jakob, M., Bizer, C.: DBpedia for NLP: A Multilingual Cross-domain Knowledge Base. In: Calzolari, N., Choukri, K., Declerck, T., Uan, M., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds) Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12), Istanbul, Turkey, May 2012. European Language Resources Association (ELRA) (2012)
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Schouten, K., Frasincar, F., de Jong, F.: Commit-p1wp3: A co-occurrence based approach to aspect-level sentiment analysis. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 203–207 (2014)
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Wagner, J., Arora, P., Cortes, S., Barman, U., Bogdanova, D., Foster, J., Tounsi, L.: Dcu: Aspect-based polarity classification for semeval task 4. In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 223–229 (2014)
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Metadata
Title
Semantic Lexicon Expansion for Concept-Based Aspect-Aware Sentiment Analysis
Authors
Anni Coden
Dan Gruhl
Neal Lewis
Pablo N. Mendes
Meena Nagarajan
Cartic Ramakrishnan
Steve Welch
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_4