https://github.com/mrdbourke/sentiment-analysis-with-keras
Materials and code relating to Learning Intelligence 25.
https://github.com/mrdbourke/sentiment-analysis-with-keras
Last synced: about 2 months ago
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Materials and code relating to Learning Intelligence 25.
- Host: GitHub
- URL: https://github.com/mrdbourke/sentiment-analysis-with-keras
- Owner: mrdbourke
- Created: 2018-03-23T21:34:21.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-23T21:47:00.000Z (about 7 years ago)
- Last Synced: 2025-03-05T18:58:56.193Z (about 2 months ago)
- Language: Jupyter Notebook
- Size: 127 KB
- Stars: 9
- Watchers: 3
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# IMDB Movie Review Sentiment Analysis with Keras
This [notebook](https://github.com/mrdbourke/Sentiment-Analysis-with-Keras/blob/master/Sentiment%20Analysis%20with%20Keras.ipynb) contains the code relating to Learning Intelligence 25.
It's a run through of a sentiment analysis model using Keras on the IMDB dataset.
You will build a Keras model from the ground up to classify IMDB movie reviews as being postive or negative.
When deciding if a review is postive or negative, the model built in this notebook should achieve at least 85% accuracy.
Check out the code [here](https://github.com/mrdbourke/Sentiment-Analysis-with-Keras/blob/master/Sentiment%20Analysis%20with%20Keras.ipynb).
For more information on Keras check out the documentation at [keras.io](http://keras.io).
Happy learning!
PS. If you have any questions or corrections, please let me know through a pull request or email: [email protected].