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lstm-sentiment-analysis

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MACHINE LEARNING / NLP / AMAZON SAGEMAKER: This an exemplary implementation of Web Application predicting if provided movie review is POSITIVE or NEGATIVE. This application uses Machine Learning model trained and deployed on Amazon SageMaker environment.

  • Updated May 20, 2020
  • HTML

An LSTM model is trained in this project to identify the sentiment of a given review. Flask is used along with gunicorn to develop a web application that gives the sentiment of the user review. Docker and Kubernetes are used in the Google Cloud Platform to deploy and scale the model.

  • Updated Aug 24, 2020
  • Jupyter Notebook

My data science portfolio featuring completed projects for academic, self-learning, and hobby purposes. Includes detailed descriptions of data analysis, visualization, machine learning, and deep learning projects such as predicting customer churn, analyzing social media sentiment, and detecting fraud in financial transactions,etc

  • Updated Mar 7, 2023

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