Challenges in Product Classification and How to Overcome Them

Some challenges include:

Ambiguity in Descriptions: Similar descriptions might belong to different categories. NLP techniques like context analysis can help.
Unbalanced Datasets: Certain categories may have fewer samples, leading to biased predictions. Techniques like SMOTE (Synthetic Minority Oversampling Technique) can address this.
Dynamic Taxonomies: Product categories may evolve. Continuous retraining of models with updated data can maintain accuracy.
For example, new gadgets like "Smart Glasses" might require adding new categories and retraining existing models.