Article | NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Aspect-Based Sentiment Analysis using BERT Linköping University Electronic Press Conference Proceedings
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Title:
Aspect-Based Sentiment Analysis using BERT
Author:
Mickel Hoang: Chalmers University of Technology, Gothenburg, Chalmers University of Technology, Sweden Oskar Alija Bihorac: Chalmers University of Technology, Gothenburg, Chalmers University of Technology, Sweden Jacobo Rouces: Språkbanken, University of Gothenburg, Sweden
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Full text (pdf)
Year:
2019
Conference:
NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
020
Pages:
187--196
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Sentiment analysis has become very popular in both research and business due to the increasing amount of opinionated text from Internet users. Standard sentiment analysis deals with classifying the overall sentiment of a text, but this doesn’t include other important information such as towards which entity, topic or aspect within the text the sentiment is directed. Aspect-based sentiment analysis (ABSA) is a more complex task that consists in identifying both sentiments and aspects. This paper shows the potential of using the contextual word representations from the pre-trained language model BERT, together with a fine-tuning method with additional generated text, in order to solve out-of-domain ABSA and outperform previous state-of-the-art results on SemEval-2015 Task 12 subtask 2 and SemEval-2016 Task 5. To the best of our knowledge, no other existing work has been done on out-of-domain ABSA for aspect classification.

Keywords: BERT ASPECT-BASED SENTIMENT ANALYSIS SENTIMENT ANALYSIS PRE-TRAINED LANGUAGE MODEL

NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Mickel Hoang, Oskar Alija Bihorac, Jacobo Rouces
Title:
Aspect-Based Sentiment Analysis using BERT
References:
No references available

NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Mickel Hoang, Oskar Alija Bihorac, Jacobo Rouces
Title:
Aspect-Based Sentiment Analysis using BERT
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Last updated: 2019-11-06