TensorFlow Machine Learning Cookbook - Second Edition

How it works...

For this example, we worked with the spam-ham text data from the UCI machine learning repository. We used TensorFlow's vocabulary processing functions to create a standardized vocabulary to work with and create sentence vectors which were the sum of each text's word vectors. We used this sentence vector with logistic regression and obtained an 80% accuracy model to predict whether a specific text is spam.