Augmentation techniques for imbalanced text classification [Walmart]
An episode of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Augmentation techniques for imbalanced text classification [Walmart]" was published on December 2, 2024 and runs 10 minutes.
December 2, 2024 ·10m · Snacks Weekly on Data Science
Summary
In this episode, we will introduce the issue of data imbalance and its impact on machine learning models, especially for text data. We will discuss a range of augmentation techniques and walked through how Walmart’s data science team built an automated augmentation module to apply these techniques consistently and effectively. For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/walmartglobaltech/augmentation-techniques-for-imbalanced-text-classification-f0d29c0f8ce1
Episode Description
In this episode, we will introduce the issue of data imbalance and its impact on machine learning models, especially for text data. We will discuss a range of augmentation techniques and walked through how Walmart’s data science team built an automated augmentation module to apply these techniques consistently and effectively.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/walmartglobaltech/augmentation-techniques-for-imbalanced-text-classification-f0d29c0f8ce1
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