Use advanced natural language processing and tone analysis to extract meaningful insights

Learn how to extract insights from natural language text, such as category, concepts, emotion, entities, keywords, sentiment, top positive sentences, and word clouds by using IBM Watson Natural Language Understanding and Watson Tone Analyzer. Watson Natural Language Understanding includes a set of text analytics features that can be used to extract meanings from unstructured data such as a text file. Watson Tone Analyzer understands emotions and communication styles in a text. By combining the capabilities of both services, you can extract meaningful insights in the form of a natural language understanding analysis report from a natural language transcript. The transcript used in this code pattern is generated from a video recording of the IBM Q1 2019 earnings meeting.