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

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.

Source Code for User Bias Removal in Fine Grained Sentiment Analysis (CODS-COMAD 2018, DAB@CIKM 2017)

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.

Classification de produits avec leurs images et leurs descriptions.

AI-powered product classification system using Keras and TensorFlow with multilingual support

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.

CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 6

Identification of fashion products using deep learning

NCM (Nomenclatura Comum do Mercosul) codes, their descriptions and hierarchy in formats easy to parse.

Deep Learning for product classification with NLP

Fine-tuned DistilBERT model for classifying e-commerce product descriptions into categories.