The Library
Adversarial learning of poisson factorisation model for gauging brand sentiment in user reviews
Tools
Tools
Tools
Zhao, Runcong, Gui, Lin, Pergola, Gabriele and He, Yulan (2021) Adversarial learning of poisson factorisation model for gauging brand sentiment in user reviews. In: EACL 2021 : The 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual conference, 19-23 Apr 2021 (In Press)
![[img]](http://wrap.warwick.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
WRAP-Adversarial-learning-poisson-factorisation-model-2021.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1190Kb) |
Abstract
In this paper, we propose the Brand-Topic Model (BTM) which aims to detect brand-associated polarity-bearing topics from product reviews. Different from existing models for sentiment-topic extraction which assume topics are grouped under discrete sentiment categories such as `positive', `negative' and `neural', BTM is able to automatically infer real-valued brand-associated sentiment scores and generate fine-grained sentiment-topics in which we can observe continuous changes of words under a certain topic (e.g., `shaver' or `cream') while its associated sentiment gradually varies from negative to positive. BTM is built on the Poisson factorisation model with the incorporation of adversarial learning. It has been evaluated on a dataset constructed from Amazon reviews. Experimental results show that BTM outperforms a number of competitive baselines in brand ranking, achieving a better balance of topic coherence and uniqueness, and extracting better-separated polarity-bearing topics.
| Item Type: | Conference Item (Paper) | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science > Computer Science | ||||||
| Official Date: | 2021 | ||||||
| Dates: |
|
||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Funder: | EPSRC | ||||||
| RIOXX Funder/Project Grant: |
|
||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | EACL 2021 : The 16th Conference of the European Chapter of the Association for Computational Linguistics | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Virtual conference | ||||||
| Date(s) of Event: | 19-23 Apr 2021 | ||||||
| Related URLs: | |||||||
| Open Access Version: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
