Patent Document ID: 8463786
Application ID: 12813037

Base Claim:
1. A computer-implemented process for extracting topically related keywords from topically related documents, comprising: using a computer to perform the following process actions: accessing a set of topically related documents; identifying a number of candidate keywords from the set of related documents, wherein a candidate keyword can be an individual term or a multiple word phrase; forming a weighted keyword candidate-document matrix using the candidate keywords; partitioning the keyword candidate-document matrix into multiple groups of keyword candidates; identifying dense clusters of keyword candidates in each of the groups of keyword candidates whose density exceeds a prescribed density threshold, said keyword candidate cluster density for a group of keyword candidates being based on co-occurrences of keyword candidates belonging to the group in documents from the set of related documents; and for each of the identified dense clusters, designating the keyword candidates associated with that cluster as topically related keywords, and extracting the topically related keywords from the set of topically related documents.

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Claim 8:
8. The process of claim 1 , wherein the process action of identifying candidate keywords from the set of related documents, comprises an action of using a controlled vocabulary, wherein the controlled vocabulary comprises a list of keywords believed to be relevant to a topic of interest associated with the set of related document, and wherein only terms and phrases found in the set of related documents that are included in the controlled vocabulary are identified as candidate keywords.