تفاصيل العمل

Implemented an LSTM-based neural network to capture sequential dependencies in text data. The project included text preprocessing (tokenization, padding, and stopWord removal), model training using TensorFlow/ Keras, and evaluation using accuracy and loss metrics. The model was deployed using Streamlit to allow users to input reviews and receive real-time sentiment predictions

بطاقة العمل

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