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SOBA: Semi-Automated Ontology Builder for Aspect-Based Sentiment Analysis

27 Pages Posted: 13 Dec 2019 First Look: Under Review

See all articles by Lisa Zhuang

Lisa Zhuang

Erasmus University Rotterdam (EUR)

Kim Schouten

Erasmus University Rotterdam (EUR)

Flavius Frasincar

Erasmus University Rotterdam (EUR)

Abstract

This research explores the possibility of improving knowledge-driven aspect-based sentiment analysis (ABSA) in terms of efficiency and effectiveness. This is done by implementing a Semi-automated Ontology Builder for Aspect-based sentiment analysis (SOBA). Semi-automatization of the ontology building process could produce more extensive ontologies, whilst shortening the building time. Furthermore, SOBA aims to improve the effectiveness of its ontologies in ABSA by attaching to concepts the semantics provided by a semantic lexicon. To evaluate the performance of SOBA, ontologies are created using the ontology builder for the restaurant and laptop domains. The use of these ontologies is then compared with the use of manually constructed ontologies in a state-of-the-art knowledge-driven ABSA model, the Two-Stage Hybrid Model (TSHM). The results show that it is difficult for a machine to beat the quality of a human made ontology, as SOBA does not improve the effectiveness of TSHM, achieving similar results. Including the semantics provided by a semantic lexicon in general increases the performance of TSHM, albeit not significantly. However, SOBA decreases by 50% or more the human time needed to build ontologies, so that it is recommended to use SOBA for knowledge-driven ABSA frameworks, as it leads to greater efficiency.

Keywords: domain ontology, aspect-based sentiment analysis, ontology learning, reviews, semi-automatization

Suggested Citation

Zhuang, Lisa and Schouten, Kim and Frasincar, Flavius, SOBA: Semi-Automated Ontology Builder for Aspect-Based Sentiment Analysis (December 11, 2019). Available at SSRN: https://ssrn.com/abstract=3502455 or http://dx.doi.org/10.2139/ssrn.3502455

Lisa Zhuang

Erasmus University Rotterdam (EUR) ( email )

Burgemeester Oudlaan 50
3000 DR Rotterdam, Zuid-Holland 3062PA
Netherlands

Kim Schouten

Erasmus University Rotterdam (EUR) ( email )

Burgemeester Oudlaan 50
3000 DR Rotterdam, Zuid-Holland 3062PA
Netherlands

Flavius Frasincar (Contact Author)

Erasmus University Rotterdam (EUR) ( email )

Burgemeester Oudlaan 50
3000 DR Rotterdam, Zuid-Holland 3062PA
Netherlands

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