arXiv:2010.15296
공식 코드 · Papers with Code
Fact or Factitious? Contextualized Opinion Spam Detection
원문 초록
In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to be effective, and introduce our own approach by fine-tuning state of the art contextualised embeddings. The results we obtain show the potential of contextualised embeddings for fake review detection, and lay the groundwork for future research in this area.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Cyber Security Data Science: Machine Learning Methods and their Performance on Imbalanced Datasets
Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
Online detection and infographic explanation of spam reviews with data drift adaptation
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
Detecting value-expressive text posts in Russian social media
Text generation for dataset augmentation in security classification tasks
토론
이 논문과 연결된 포럼 글이 아직 없습니다.