mlsanityData to 14 Oct 2026

Detecting Spam Reviews on Vietnamese E-commerce Websites

arXiv 2207.14636 ↗First posted 27 Jul 2022cs.CL cs.AIcited by 4

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Abstract (arXiv)

The reviews of customers play an essential role in online shopping. People often refer to reviews or comments of previous customers to decide whether to buy a new product. Catching up with this behavior, some people create untruths and illegitimate reviews to hoax customers about the fake quality of products. These are called spam reviews, confusing consumers on online shopping platforms and negatively affecting online shopping behaviors. We propose the dataset called ViSpamReviews, which has a strict annotation procedure for detecting spam reviews on e-commerce platforms. Our dataset consists of two tasks: the binary classification task for detecting whether a review is spam or not and the multi-class classification task for identifying the type of spam. The PhoBERT obtained the highest results on both tasks, 86.89% and 72.17%, respectively, by macro average F1 score.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 11 of its 30 references that are in the map. First posted on arXiv 27 Jul 2022.

Builds on

11 of 30 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,304
  3. 2014Convolutional Neural Networks for Sentence Classificationcited by 1,127
  4. 2020A Primer in BERTology: What we know about how BERT workscited by 815
  5. 2018Learning Word Vectors for 157 Languagescited by 280
  6. 2020PhoBERT: Pre-trained language models for Vietnamesecited by 149
  7. 2021SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligencecited by 12
  8. 2020A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamesecited by 8
  9. 2021NLPBK at VLSP-2020 shared task: Compose transformer pretrained models for Reliable Intelligence Identification on Social networkcited by 4
  10. 2021Investigating Monolingual and Multilingual BERTModels for Vietnamese Aspect Category Detectioncited by 4
  11. 2021Span Detection for Aspect-Based Sentiment Analysis in Vietnamesecited by 1

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 2.

4 papers.

  1. 2023ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processingcited by 11
  2. 2024Metadata Integration for Spam Reviews Detection on Vietnamese E-commerce Websitescited by 1
  3. 2024A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Mediacited by 1
  4. 2023Types of Approaches, Applications and Challenges in the Development of Sentiment Analysis Systemscited by 0