Understanding Text with Natural Language Processing
Natural Language Processing (NLP) is the field of machine learning that deals with the understanding of language, in the form of text data. It is one of the fields that has seen a strong evolution in the last few years, achieving great results in the areas of sentiment analysis, chatbots, text summarization, and machine translation. NLP is at the core of the assistants developed by Amazon (Alexa), Google, and Apple (Siri), as well as modern assistants such as ChatGPT and Llama 2.
In this chapter, we will learn how to use GluonNLP, an MXNet Gluon library specific to NLP, how to build our own networks, and how to use its Model Zoo API for several applications of pre-trained models.
Specifically, we will cover the following topics:
- Introducing NLP networks
- Classifying news highlights with topic modeling
- Analyzing sentiment in movie reviews
- Translating text from Vietnamese to English
