What does this model do?
Used to discover the unknown topics within big data.
Unsupervised learning technique that converts a large corpus into a network representation, and then identifies and analyses communities (aka topics) in this network.
Who should use this model?
This is the ideal discovery tool for those that don't know what they're looking for. Take any given subject, collect large amounts of data for it using the Skim Engine, then pass the data through the Topic Discovery model to see the hidden trends.
Scientific Researchers: Looking for unknown topics within research literature to inform the latest trends.
Business Analysts: Searching for new trends or topics within a large set of industry news, political or social media data.
Market Researchers: Trying to spot the next big thing in consumer trends, or to find themes around a subject matter to inform further avenues for research.
Best model pairing?