Patent ID: 8386240
Filing Date: 2013-02-26
Classification: G06F

Abstract:
1. A computer-implemented method, comprising: determining a topic divergence value, the topic divergence value proportional to a ratio of a first topic word distribution in a first collection of documents to a second topic word distribution in a second collection of documents, wherein the first collection of documents is a collection of topic documents related to a particular topic, and the second collection of documents is a collection of documents that includes other documents related to other topics; determining a candidate topic word divergence value for a candidate topic word, the candidate topic word divergence value proportional to a ratio of a first distribution of the candidate topic word in the first collection of documents to a second distribution of the candidate topic word in the second collection of documents, wherein the candidate topic word is a candidate for being identified as a new topic word for the particular topic and is not a word in a topic dictionary for the particular topic; and determining whether the candidate topic word is a new topic word for the particular topic based on the candidate topic word divergence value and the topic divergence value.