1. A processor-implemented method for identifying domain-specific concepts in multiple subdiscussions in an online discussion using concept commonality measures by identifying features including relevance within the online discussion to generate inferences, the online discussion being stored in a memory communicatively coupled to a processor, the processor executing the concept commonality measures to perform the processor-implemented method, the processor-implemented method comprising: identifying, by the processor, a first concept relevant to a first subdiscussion associated with the online discussion; identifying, by the processor, a second concept relevant to the first subdiscussion; determining, by the processor, a first relation between the first concept and the second concept; computing, by the processor, a first relevance that corresponds to the first concept and the first subdiscussion based on a number of other subdiscussions associated with the first concept and a frequency associated with the first concept and the first subdiscussion, wherein the concept commonality measures comprise the first relevance, wherein the concept commonality measures support the inferences in the online discussion; displaying, via a display communicatively coupled to the processor and the memory, a user interface comprising the first relevance, identifying a first participant associated with a first text segment corresponding to the online discussion; identifying a second participant associated with a second text segment corresponding to the online discussion; and determining a second relation between the first participant and the second participant based at least in part on one selected from a response matrix and a content matrix, wherein the response matrix corresponds to a first participation in the online discussion by the first participant and a second participation in the online discussion by the second participant, and wherein the content matrix corresponds to a comparison of the first text segment and the second text segment.
1. A processor-implemented method for identifying domain-specific concepts in multiple subdiscussions in an online discussion using concept commonality measures by identifying features including relevance within the online discussion to generate inferences, the online discussion being stored in a memory communicatively coupled to a processor, the processor executing the concept commonality measures to perform the processor-implemented method, the processor-implemented method comprising: identifying, by the processor, a first concept relevant to a first subdiscussion associated with the online discussion; identifying, by the processor, a second concept relevant to the first subdiscussion; determining, by the processor, a first relation between the first concept and the second concept; computing, by the processor, a first relevance that corresponds to the first concept and the first subdiscussion based on a number of other subdiscussions associated with the first concept and a frequency associated with the first concept and the first subdiscussion, wherein the concept commonality measures comprise the first relevance, wherein the concept commonality measures support the inferences in the online discussion; displaying, via a display communicatively coupled to the processor and the memory, a user interface comprising the first relevance, identifying a first participant associated with a first text segment corresponding to the online discussion; identifying a second participant associated with a second text segment corresponding to the online discussion; and determining a second relation between the first participant and the second participant based at least in part on one selected from a response matrix and a content matrix, wherein the response matrix corresponds to a first participation in the online discussion by the first participant and a second participation in the online discussion by the second participant, and wherein the content matrix corresponds to a comparison of the first text segment and the second text segment. 10. The processor-implemented method of claim 1 , further comprising: identifying a first excerpt associated with the first concept and the online discussion; identifying a plurality of additional excerpts associated with the first concept, the second concept and the online discussion; and augmenting a ranking score corresponding to the first excerpt based on the additional excerpts being associated with the first concept and with the second concept.