Multi-label tagging: automatically evaluating a piece of content and tagging it to a set of categories like topics, industries, countries. Automatically applying a taxonomy on millions of articles.
Sentiment analysis: Automatically extracting sentiments (positivity/negativity) and emotions (liking, anger, disgust, etc.) from unstructured text information.
Content recommendations: Automatically grouping similar documents together and generating relevant content recommendations
