Deep Learning Essentials

Deep learning for text

We have seen various different techniques so far, which employ variants of neural networks for text processing. Word-based embedding is one such common application of neural networks. As seen in the previous chapter, word-based embedding techniques are feature-level, or representation learning, problems. In other words, they solve a very specific problem: Given a text block, represent it in some feature form that is used for a downstream text mining application, such as classification, machine translation, attribute labeling, and so on. A number of machine learning techniques exist today that can apply text mining at varying accuracy levels. In this chapter, we focus on an entirely different model of text processing. ...