sentiment analysis

This project implements a Sentiment Analysis system using a deep learning model based on Gated Recurrent Units (GRU) to classify the emotional tone of textual data.

The model analyzes user-generated text such as reviews, comments, or social media posts and predicts the sentiment expressed in the text (positive, negative, or neutral).

By leveraging recurrent neural networks, the system captures the sequential structure of language and learns contextual relationships between words.