ohidaoui/SentiDarija

Polarity classification for products and services reviews written in Darija # SentiDarija **Polarity classification for products and services reviews written in Darija.** The project aims to develop a sentiment analysis system specifically designed for analyzing product and services reviews written in Darija, the Moroccan dialect, supporting Arabic & Arabizi writing styles. The goal is to provide businesses operating in Morocco with valuable insights into customer sentiments and opinions. The project involves the following key steps: 1. **Conducting a survey** of existing techniques and datasets for sentiment analysis, with a specific focus on resources available for Darija. 2. **Data Collection**: Gathering a dataset of Darija products and services reviews from relevalt Youtube videos and Facebook groups. 3. **Data Preprocessing**: Cleaning and preparing the collected data for analysis, including text normalization and removal of noise, this step includes writing style specific processing. 4. **Exploring various DL techniques** for polarity classification. 5. **Fine-tuning DarijaBERT-mix**, a pre-trained transformer-based model specifically designed for darija. 6. **Application Development**: Buiding a Demo *Streamlit* web application.