7. The method of claim 1 , wherein determining the relevance factor for each of the communications further comprises: modifying the relevance factor based upon one or more authors of each communication.
1. A computer implemented method for presenting relevant communications about unstructured information, comprising: receiving the unstructured content that includes unstructured information and one or more communications for the unstructured information, by at least one computing processor; determining a relevant knowledge domain for the unstructured information, by the at least one computing processor; identifying at least one annotator related to the relevant knowledge domain based on a table of annotator to knowledge domain associations, wherein the at least one annotator generates annotations using dictionaries and rules, by the at least one computing processor; generating one or more first annotations for the unstructured information with a text analyzer using the at least one annotator, by the at least one computing processor; generating one or more second annotations for each of one or more communications with the text analyzer using the at least one annotator, by the at least one computing processor; determining a relevance factor for each of the one or more communications based in part upon a number of matches of the one or more second annotations to the one or more first annotations for the communication and based on whether any of the one or more first annotations and the one or more second annotations are associated with a negative topic domain; and organizing, by order of relevance, the one or more communications with the relevance factor greater than a threshold relevance, by the at least one computing processor.