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Tracking brand-associated polarity-bearing topics in user reviews
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Zhao, Runcong, Gui, Lin, Yan, Hanqi and He, Yulan (2023) Tracking brand-associated polarity-bearing topics in user reviews. Transactions of the Association for Computational Linguistics, 11 . pp. 404-418. doi:10.1162/tacl_a_00555 ISSN 2307-387X.
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Official URL: https://doi.org/10.1162/tacl_a_00555
Abstract
Monitoring online customer reviews is important for business organizations to measure customer satisfaction and better manage their reputations. In this paper, we propose a novel dynamic Brand-Topic Model (dBTM) which is able to automatically detect and track brand-associated sentiment scores and polarity-bearing topics from product reviews organized in temporally ordered time intervals. dBTM models the evolution of the latent brand polarity scores and the topic-word distributions over time by Gaussian state space models. It also incorporates a meta learning strategy to control the update of the topic-word distribution in each time interval in order to ensure smooth topic transitions and better brand score predictions. It has been evaluated on a dataset constructed from MakeupAlley reviews and a hotel review dataset. Experimental results show that dBTM outperforms a number of competitive baselines in brand ranking, achieving a good balance of topic coherence and uniqueness, and extracting well-separated polarity-bearing topics across time intervals.1
Item Type: | Journal Article | |||||||||||||||
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Subjects: | P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | |||||||||||||||
SWORD Depositor: | Library Publications Router | |||||||||||||||
Library of Congress Subject Headings (LCSH): | Computational linguistics , Artificial intelligence, Human-computer interaction, User-centered system design | |||||||||||||||
Journal or Publication Title: | Transactions of the Association for Computational Linguistics | |||||||||||||||
Publisher: | Association for Computational Linguistics | |||||||||||||||
ISSN: | 2307-387X | |||||||||||||||
Official Date: | 9 May 2023 | |||||||||||||||
Dates: |
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Volume: | 11 | |||||||||||||||
Page Range: | pp. 404-418 | |||||||||||||||
DOI: | 10.1162/tacl_a_00555 | |||||||||||||||
Status: | Peer Reviewed | |||||||||||||||
Publication Status: | Published | |||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||
Date of first compliant deposit: | 28 July 2023 | |||||||||||||||
Date of first compliant Open Access: | 28 July 2023 | |||||||||||||||
RIOXX Funder/Project Grant: |
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