US 2011/0238410 A1 · Semantic Clustering and User Interfaces

Abstract

Semantic clustering techniques are described. In various implementations, a conversational agent is configured to perform semantic clustering of a corpus of user utterances. Semantic clustering may be used to provide a variety of functionality, such as to group a corpus of utterances into semantic clusters in which each cluster pertains to a similar topic. These clusters may then be leveraged to identify topics and assess their relative importance, as for example to prioritize topics whose handling by the conversation agent should be improved. A variety of utterances may be processed using these techniques, such as spoken words, textual descriptions entered via live chat, instant messaging, a website interface, email, SMS, a social network, a blogging or micro-blogging interface, and so on.

Claims35

Dependent claims

A method implemented by one or more modules at least partially by hardware, the method comprising:

comparing a first set of semantic clusters formed from a first corpus using linguistic analysis with a second set of semantic clusters from a second corpus formed using linguistic analysis;
identifying semantic clusters having topics that are common to the first and second sets;
and
outputting a result of the identifying.

1 more element

Dependencies are inferred from the claim text.

Semantic Clustering and User Interfaces

Life of this patent

Semantic Clustering and User Interfaces

Life of this patent

Abstract

Claims35