Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/b2b-agility-with-greg-kihlstrom-martech-e-commerce-customer-success">B2B Agility with Greg Kihlström™: MarTech, E-Commerce, & Customer Success</a></span>

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B2B Agility with Greg Kihlström™: MarTech, E-Commerce, & Customer Success

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B2B marketing strategy grows ever more complex, with marketers needing to understand strategy, marketing technology, e-commerce, customer success, and more. This show covers it all, from a Business-to-Business perspective. From the creators and host of the award-winning The Agile Brand with Greg Kihlström podcast, comes B2B Agility™, a podcast focused on how B2B marketers and the brands they represent become category leaders and drive optimal results for the business and their customers. The show looks at B2B success in a variety of ways, all with a focus on the intersection of sales, marketing & technology.

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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.

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Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon

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Machine Learning Tech Brief By HackerNoon « » Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix

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Effective Anomaly Detection Pipeline for Amazon Reviews: References & Appendix