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A recurrent neural network (RNN, LSTM) model is constructed and deployed for sentiment analysis using AWS SageMaker and PyTorch.

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Udacity-Project-Sentiment-Analysis-Web-App

In this project, a recurrent neural network (RNN, LSTM) model was developed for determining the sentiment of a movie review using the IMDB data set. The model was built, trained and deployed by using PyTorch and AWS SageMaker service with word embedding as input features. In addition, a simple web application was constructed to interact with the deployed model.

  • PyTorch
  • AWS SageMaker
  • Model deployment
  • Recurrent neural network (RNN)
  • Long short-term memory (LSTM)
  • Word embeddings

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