Patent ID: 9575952
Date: 2017-02-21
CPC Classifications: G06F,G10L,H04W

Claim:
1. A method for determining topics of short text messages, the short text messages having an average length, comprising: by a computer, identifying a vocabulary of words in a corpus, the corpus comprising a plurality of training short text messages; selecting a context window fixed length to approximate the average length of the short text messages; by the computer, obtaining distributed vector representations of the words in the vocabulary by processing windows of the corpus having the context window fixed length; by the computer, estimating a plurality of Gaussian components of a Gaussian mixture model of the corpus using the distributed vector representations and using bottleneck features obtained using neural networks, the Gaussian components representing corpus topics; by the computer, receiving a sample short text message comprising words in the vocabulary; and by the computer, determining a topic of the sample short text message based on a posterior distribution over the corpus topics for the sample short text message, the posterior distribution obtained using the Gaussian mixture model.