A response processing system classifies extracted keywords from answer candidate data to organize retrieval results for user selection.
A multi-document summarization system selects relevant sentences using a cross-entropy algorithm to generate candidate summaries.
Separating biases from structured and unstructured voice-of-customer feedback via probabilistic topic models to improve content quality assessment accuracy.
A device links application terms to predictive search queries by receiving key terms from a server and determining matches.
An application classifier uses latent semantic indexing vectors to determine functional similarity between software entities.
A system generates semantic tags from document similarity to identify hidden concepts.