System and method for discovering and exploring concepts

A method for exploring concepts automatically identified in a plurality of interactions, the method comprising:

• receiving, on a processor, a query comprising a concept;
• retrieving, by the processor, a cluster containing the concept;
• and
• displaying the retrieved cluster,
• wherein the concepts are automatically identified by:
• filtering, on the processor, the interactions based on intervals;
• creating, on the processor, a plurality of sentences from the filtered interactions;
• computing, on the processor, a saliency of each the sentences;
• pruning away, on the processor, sentences with low saliency for generating a set of informative sentences;
• and
• clustering, on the processor, the sentences of the set of informative sentences for generating a plurality of sentence clusters, each of the clusters corresponding to a concept of the concepts.

A computer system comprising:

• a processor;
• and
• a memory, wherein the memory has stored thereon instructions that, when executed by the processor, causes the processor to identify concepts in a plurality of interactions by:
• filtering the interactions based on intervals;
• creating a plurality of sentences from the filtered interactions;
• computing a saliency of each the sentences;
• pruning away sentences with low saliency for generating a set of informative sentences;
• clustering the sentences of the set of informative sentences for generating a plurality of sentence clusters, each of the clusters corresponding to a concept of the concepts;
• computing a saliency of each of the clusters;
• and
• naming each of the clusters.

A computer system comprising:

• a processor;
• and
• a memory, wherein the memory has stored thereon instructions that, when executed by the processor, causes the processor to respond to requests for exploration of concepts by:
• receiving a query comprising a concept;
• retrieving a cluster containing the concept;
• and
• displaying the retrieved cluster,
• wherein the concepts are automatically identified by:
• filtering the interactions based on intervals;
• creating a plurality of sentences from the filtered interactions;
• computing a saliency of each the sentences;
• pruning away sentences with low saliency for generating a set of informative sentences;
• and
• clustering the sentences of the set of informative sentences for generating a plurality of sentence clusters, each of the clusters corresponding to a concept of the concepts.