Latent semantic clustering

A computer program product for automatically identifying clusters of conceptually-related documents in a collection of documents, comprising:

• a computer usable medium having computer readable program code embodied in said medium for causing an application program to execute on an operating system of a computer, said computer readable program code comprising:
• computer readable first program code that causes the computer to generate a document-representation of each document in an abstract mathematical space;
• computer readable second program code that causes the computer to identify a plurality of document clusters in the collection of documents based on a conceptual similarity between respective pairs of the document-representations, wherein each document cluster includes an exemplary document and a plurality of other documents;
• and
• computer readable third program code that causes the computer to identify a non-intersecting document cluster from among the plurality of document clusters based on (i) a conceptual similarity between the document-representation of the exemplary document and the document-representation of each document in the non-intersecting cluster and (ii) a conceptual dissimilarity between a cluster-representation of the non-intersecting document cluster and a cluster-representation of each other document cluster.

A computer-based method for automatically identifying clusters of conceptually-related documents in a collection of documents, comprising:

• (a) generating a document-representation of each document in an abstract mathematical space;
• (b) identifying a plurality of document clusters in the collection of documents based on a conceptual similarity between respective pairs of the document-representations, wherein each document cluster includes a plurality of documents;
• (c) computing an intra-cluster conceptual similarity for each document cluster based on the document-representations of the plurality of documents included in each cluster;
• (d) computing inter-cluster conceptual dissimilarities between pairs of document clusters in the plurality of document clusters;
• and
• (e) identifying a non-intersecting document cluster from among the plurality of document clusters based on (i) the intra-cluster conceptual similarities and (ii) the inter-cluster conceptual dissimilarities.

A computer-based method for automatically organizing documents in a collection of documents into clusters of documents, comprising:

• (a) generating a representation of each document in an abstract mathematical space;
• (b) measuring a similarity between the representation of each document in the collection of documents and the representation of at least one other document in the collection of documents;
• (c) labeling each document in the collection of documents with a first mapping or a second mapping based on the similarity measurements;
• and
• (d) organizing the documents into clusters based on the mappings.

A computer program product for automatically organizing documents in a collection of documents into clusters of documents, comprising:

• a computer usable medium having computer readable program code embodied in said medium for causing an application program to execute on an operating system of a computer, said computer readable program code comprising:
• computer readable first program code that causes the computer to generate a representation of each document in an abstract mathematical space;
• computer readable second program code that causes the computer to measure a similarity between the representation of each document in the collection of documents and the representation of at least one other document in the collection of documents;
• computer readable third program code that causes the computer to label each document in the collection of documents with a first mapping or a second mapping based on the similarity measurements;
• and
• computer readable fourth program code that causes the computer to organize the documents into clusters based on the mappings.