E-commerce-Text-Classification and E-Commerce-Product-Description-Classification

E-commerce-Text-Classification
36
Emerging
E-Commerce-Product-Description-Classification
29
Experimental
Maintenance 0/25
Adoption 5/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 1/25
Maturity 16/25
Community 12/25
Stars: 12
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About E-commerce-Text-Classification

sugatagh/E-commerce-Text-Classification

Proper categorization of e-commerce products enhances the user experience and achieves better results with external search engines. The objective of the project is to classify a product into four given categories, based on its description available on an e-commerce platform.

This project helps e-commerce businesses automatically sort products into the correct categories. You provide product descriptions, and it assigns them to categories like 'Electronics', 'Household', 'Books', or 'Clothing & Accessories'. This is ideal for e-commerce managers, content teams, or anyone managing online product catalogs who needs to keep their inventory organized and easily discoverable for customers.

e-commerce product catalog management online retail inventory classification content tagging

About E-Commerce-Product-Description-Classification

steveee27/E-Commerce-Product-Description-Classification

Classify e-commerce product descriptions into categories (Household, Books, Electronics, Clothing & Accessories) using SVM and Random Forest models with TF-IDF and Word2Vec representations. Includes data preprocessing, hyperparameter tuning, and model evaluation for performance comparison.

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