Repository for My HuggingFace Natural Language Processing Projects

Job title Classification by industry using NLP Multi-text Classification Problem.

IdiomX is a research-oriented Natural Language Processing (NLP) project that investigates the translation of English idiomatic expressions using transformer-based neural models.

Fine-tuned mBERT-based AI system for Urdu sentiment analysis with real-time Gradio UI and Hugging Face deployment.

Java + Python NLP pipeline: Selenium data collection, PostgreSQL, FastAPI classifier, BART-MNLI zero-shot classification

This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.

End-to-end NLP pipeline for categorising free-text medical claims using TF-IDF vectorisation and Random Forest classification.

Classify mental health text into multiple categories with fine-tuned BERT.

Moodix — локальный модуль анализа русскоязычного текста, определяющий основное настроение (позитивное, нейтральное, негативное), 15 суб-настроений и 6 деструктивных признаков (угроза, ненависть, экстремизм и др.). Основан на BiLSTM-модели и работает без доступа к интернету. Подходит для интеграции в CRM, e-commerce, модерации и аналитики.