Fundamentals of Natural Language Processing

The goal of natural language processing is to create machines that comprehend text or voice data and respond in a manner similar to how humans do by responding with their own text or speech. In this chapter, you will learn what natural language processing is, how it works, and its various stages. After that, you’ll learn about core NLP tasks like text analysis and entity recognition, sentiment analysis, speech recognition and synthesis, machine translation, and semantic language modeling. Additionally, we’ll cover AI for conversational interaction and its benefits, as well as Microsoft Azure NLP offerings. Here, you’ll learn about core Azure NLP workloads like language, speech, and translator. Finally, under the section “Microsoft Azure Platform for Conversational AI,” you will learn about Power Virtual Agents and the Azure Bot Service.