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)

Deep Learning for product classification with NLP

Classification de produits avec leurs images et leurs descriptions.

Identification of fashion products using deep learning

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

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.