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Classification in Compass
Supervised
Uses pre-labeled data to train classifiers for real-time categorization of incoming text
Sentiment
Uses advanced scoring methods to classify incoming text based on sentiment
Query-based
Assigns labels based on how well incoming text matches Boolean queries, for both exact matches and related concepts
Intelligent triage automation.
Cutting-edge machine learning lends Compass a humanlike understanding of language to accurately sort incoming data.
Near-real-time classification.
Luminoso's patented science understands language in near-real time to support routing the right information to the right people.
Classify at scale.
Compass handles thousands of incoming text samples per minute to maintain speed and accuracy even at high volume.
Reduce training data by 20x.
Compared with open-source classification libraries, Compass requires 10 to 20 times less labeled data.
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