Najat-Zaidane/Sentiment_analysis

This repository contains the source code for an API designed to perform sentiment analysis on Moroccan Darija language text data. The sentiment analysis model achieved an accuracy of 71% on the provided dataset. # Sentiment_analysis This repository contains the source code for an API designed to perform sentiment analysis on Moroccan Darija language text data. The sentiment analysis model achieved an accuracy of 71% on the provided dataset. # API Usage To use the API, follow these steps: Clone the repository. Install the required dependencies. Run the app.py script. Make POST requests to the API endpoint to analyze text sentiment. # Model Details The sentiment analysis model, built using Python, attained an accuracy of 71% on a Moroccan Darija language dataset. It employs a range of data preprocessing methods and machine learning algorithms to categorize text into positive, negative, or neutral sentiments. For more information, please consult the source code and accompanying Markdown files.