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.
No commits in the last 6 months.
Use this if you need to efficiently categorize a large volume of e-commerce product descriptions into predefined categories to improve website navigation and search engine visibility.
Not ideal if you need to create entirely new product categories or if your product descriptions are very short or unstructured.
Stars
12
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sugatagh/E-commerce-Text-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jenojp/negspacy
spaCy pipeline object for negating concepts in text
Mascerade/supervised-product-matching
⚖️ Neural network for product matching, aka classifying whether two product titles represent the...
dmlls/negate
negate_sentence(A Python module that doesn't negate sentences.)
MaggieMeow/neko
Product categorization using sequence-to-sequence models and others.
aryanbadiee/Website-Categorization
Recognizes the subject of websites