Learning Objectives - Natural Language Processing (NLP) Workloads on Azure (15-20%)

This video tutorial covers the learning objectives of the fourth module on Natural Language Processing (NLP). It is divided into two submodules. The first submodule discusses NLP features and applications, including key phrase extraction, entity recognition, sentiment analysis, language modeling, speech recognition, synthesis, and translation. The second submodule focuses on Azure tools and services for implementing these NLP features, such as text analytics, Luis, speech service, and translation service. The module also includes examples, applications, and demos, covering 15-20% of the syllabus.

Describe the text analytics service and its relation to NLP features.

What percentage of the syllabus does this module cover compared to other modules?