A text classifier build using Tensorflow backend.
- To classify text into various categories.
- Analyze sentiments of text
- Mine important keywords from text.
- Weightage of important keywords
- Sub classification of texts.
- Install Tensorflow
- pip install -r requirements.pip
- MNIST Data.
tar -xvfz mnist.tar.gz && mv mnist MNIST_data
- IMDB movie review data.
tar -xvfz aclImdb.tar.gz
- CNN Data for classification of cats and dogs images.
Link will be added soon.
- Python 3.6
- Tensorflow
- Keras