Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?-Reference-Cited by-同舟云学术

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Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

Published:2024-07 Issue: Volume:133 Page:108065
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Novoa-Paradela David^ORCID,Fontenla-Romero Oscar,Guijarro-Berdiñas Bertha

Funder

Fundación BBVA

Publisher

Elsevier BV

Reference49 articles.

1. Amazon, ., Amazon customer reviews dataset, https://nijianmo.github.io/amazon/index.html.

2. Amazon, ., Amazon targets fake review fraudsters on social media, https://www.aboutamazon.com/news/policy-news-views/amazon-targets-fake-review-fraudsters-on-social-media.

3. Natural Language Processing with Python;Bird,2009

4. Detecting fake reviews through topic modelling;Birim;J. Bus. Res.,2022

5. LOF: Identifying density-based local outliers;Breunig,2000

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