The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge
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Updated
Aug 3, 2020 - Jupyter Notebook
The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge
Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.
Build a fastText product classification model that can predict a normalized category name for a product, given an unstructured textual representation.
Machine Learning - Multiclass Classification
Source Code for User Bias Removal in Fine Grained Sentiment Analysis (CODS-COMAD 2018, DAB@CIKM 2017)
Categorize and classify anything into a taxonomy or categories using an API that utilizes ChatGPT. Use cases: Classify products into a taxonomy. Classify texts/paragraphs based on predefined categories. Resolve complex taxonomy problems.
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.
A clean, modular, and ML-powered pipeline for grouping and classifying electronic product listings (Laptops & TVs) from noisy vendor specifications using SBERT embeddings, threshold tuning, and confidence scoring. Includes advanced insights, bundle detection, and optional bonus challenges.
Classification de produits avec leurs images et leurs descriptions.
AI-powered product classification system using Keras and TensorFlow with multilingual support
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 6
Deep Learning for product classification with NLP
Identification of fashion products using deep learning
NCM (Nomenclatura Comum do Mercosul) codes, their descriptions and hierarchy in formats easy to parse.
Fine-tuned DistilBERT model for classifying e-commerce product descriptions into categories.
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