https://github.com/shrikantnaidu/tweet-emotion-recognition

Tweet Emotion Recognition
https://github.com/shrikantnaidu/tweet-emotion-recognition

deep-learning keras machine-learning natural-language-processing tensorflow

Last synced: 21 days ago
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Tweet Emotion Recognition

• Host: GitHub
• URL: https://github.com/shrikantnaidu/tweet-emotion-recognition
• Owner: shrikantnaidu
• Created: 2021-07-31T11:33:42.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-07-31T12:06:06.000Z (over 3 years ago)
• Last Synced: 2024-11-11T21:31:17.172Z (3 months ago)
• Topics: deep-learning, keras, machine-learning, natural-language-processing, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 53.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Tweet-Emotion-Recognition

Tweet Emotion Recognition

## About 

In this 2-hour long guided project, we are going to create a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets. The dataset has thousands of tweets each classified in one of 6 emotions. This is a multi class classification problem in the natural language processing domain. We will be using TensorFlow as our machine learning framework.

You will need prior programming experience in Python. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, recurrent neural networks, and optimization algorithms like gradient descent but want to understand how to use the Tensorflow to start performing natural language processing tasks like text classification. You should also have some basic familiarity with TensorFlow.