论文标题
检测越南电子商务网站上的垃圾邮件评论
Detecting Spam Reviews on Vietnamese E-commerce Websites
论文作者
论文摘要
客户的评论在在线购物中起着至关重要的作用。人们经常参考以前客户的评论或评论，以决定是否购买新产品。赶上这种行为，有些人会为骗子的客户提供有关产品的假质量的不真实和非法评论。这些被称为垃圾邮件评论，在线购物平台上的消费者感到困惑，并对在线购物行为产生负面影响。我们提出了称为Vispamreviews的数据集，该数据集具有严格的注释程序，用于检测电子商务平台上的垃圾邮件评论。我们的数据集由两个任务组成：用于检测评论是否垃圾邮件的二进制分类任务以及用于识别垃圾邮件类型的多类分类任务。 Phobert在这两个任务上均以宏平均F1分别获得了最高的结果，分别为86.89％和72.17％。
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.
