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Patent attributes
Patent Applicant
Current Assignee
Patent Jurisdiction
Patent Number
Date of Patent
February 21, 2017
Patent Application Number
14519427
Date Filed
October 21, 2014
Patent Citations Received
Patent Primary Examiner
Patent abstract
Topics are determined for short text messages using an unsupervised topic model. In a training corpus created from a number of short text messages, a vocabulary of words is identified, and for each word a distributed vector representation is obtained by processing windows of the corpus having a fixed length. The corpus is modeled as a Gaussian mixture model in which Gaussian components represent topics. To determine a topic of a sample short text message, a posterior distribution over the corpus topics is obtained using the Gaussian mixture model.
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