- This is a text classification (sentence classification) problem.
- Datasets that are used here are Reuters Newswire Topics and IMDB Movie reviews.
- The model were built with Convolutional Neural Network (CNN), Long Short Term Memory (LSTM), Multi-Layer Perceptron (MLP) and Word Embeddings on Tensorflow or Keras.
- Implementing a CNN for Text Classification in Tensorflow
- Using pre-trained word embeddings in a Keras model
- LSTM on the IMDB dataset
- MLP on the Reuters newswire topic classification
- Convolutional Neural Networks for Sentence Classification
- A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification