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Text Emotion Detection

A machine learning project with an interactive application that runs our trained machine learning model and give output according to the user input. It follows the complete lifecycle of a machine learning model. Below are the steps that you need to follow while creating an end to end application for your model:

  1. Data access and collection
  2. Data preparation and exploration
  3. Model training and evaluation
  4. Model deployment

I will be using the streamlit framework in python to create a web interface for interacting with the machine learning model.

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