TensorFlow in Action

9 Natural language processing with TensorFlow: Sentiment analysis

This chapter covers

• Preprocessing text with Python
• Analyzing text-specific attributes important for the model
• Creating a data pipeline to handle text sequences with TensorFlow
• Analyzing sentiments with a recurrent deep learning model (LSTM)
• Training the model on imbalanced product reviews
• Implementing word embeddings to improve model performance

In the previous chapters, we looked at two compute-vision-related applications: image classification and image segmentation. Image classification focuses on recognizing if an object belonging to a certain class is present in an image. Image segmentation tasks look not only at recognizing the objects present in the image, but also which ...