Multi-Concept Latent Semantic Analysis Queries

A computer-implemented method, comprising:

• accessing text by a processing system;
• identifying, by the processing system, one or more terms from the text;
• determining, by the processing system, one or more term vectors associated with the identified terms;
• clustering, by the processing system, the determined term vectors into one or more clusters, each cluster comprising at least one of the determined term vectors;
• creating, by the processing system, one or more pseudo-documents, each pseudo-document created according to a particular one of the one or more clusters;
• identifying, by the processing system using latent semantic analysis (LSA), a set of terms for each of the created pseudo-documents;
• and
• creating, by the processing system, a list of output terms using the identified sets of terms.

A non-transitory computer-readable medium comprising software, the software when executed by one or more processing units operable to perform operations comprising:

• accessing text;
• identifying a plurality of terms from the text;
• determining a plurality of term vectors associated with the identified plurality of terms;
• clustering the determined plurality of term vectors into a plurality of clusters, the plurality of clusters comprising a first and a second cluster, the first and second clusters each comprising two or more of the determined term vectors;
• creating a first pseudo-document according to the first cluster;
• creating a second pseudo-document according to the second cluster;
• identifying, using latent semantic analysis (LSA) of the first pseudo-document, a first set of terms associated with the first cluster;
• identifying, using LSA of the second pseudo-document, a second set of terms associated with the second cluster;
• and
• combining the first and second sets of terms into a list of output terms.