• Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

  • Jun 29 2024
  • Duración: 18 m
  • Podcast

Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix Por arte de portada

Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • 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.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #transformers, #anomaly-detection, #nlp-for-anomaly-detection, #explainability-in-ml, #machine-learning-classifiers, #text-specific-ad-models, #text-encoding-techniques, #explainable-ai, and more.

    This story was written by: @textmodels. Learn more about this writer by checking @textmodels's about page, and for more stories, please visit hackernoon.com.

    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.

    Más Menos
activate_primeday_promo_in_buybox_DT
Política y Gobierno
Más Menos

Lo que los oyentes dicen sobre Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles