This story was originally published on HackerNoon at: https://hackernoon.com/effective-anomaly-detection-pipeline-for-amazon-reviews-references-and-appendix).
Explore findings from a study on an anomaly detection pipeline for Amazon reviews using MPNet embeddings.
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This study introduces an effective pipeline for detecting anomalous Amazon reviews using MPNet embeddings. It evaluates SHAP, term frequency, and GPT-3 for explainability, revealing user preferences and computational challenges. Future research may explore broader surveys and integrating GPT-3 throughout the pipeline for enhanced performance.
