1. A computer program product for presenting relevant communications about unstructured content, comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to receive the unstructured content that includes unstructured information and one or more communications for the unstructured information; program instructions to determine a relevant knowledge domain for the unstructured information; program instructions to identify 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; program instructions to generate one or more first annotations for the unstructured information with a text analyzer using the at least one annotator; program instructions to generate one or more second annotations for each of the one or more communications with the text analyzer using the at least one annotator; program instructions to determine 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 program instructions to organize, by order of relevance, the one or more communications with the relevance factor greater than a threshold relevance.
1. A computer program product for presenting relevant communications about unstructured content, comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to receive the unstructured content that includes unstructured information and one or more communications for the unstructured information; program instructions to determine a relevant knowledge domain for the unstructured information; program instructions to identify 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; program instructions to generate one or more first annotations for the unstructured information with a text analyzer using the at least one annotator; program instructions to generate one or more second annotations for each of the one or more communications with the text analyzer using the at least one annotator; program instructions to determine 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 program instructions to organize, by order of relevance, the one or more communications with the relevance factor greater than a threshold relevance. 7. The computer program product of claim 1 , wherein program instructions to determine the relevance factor for each of the communications further comprise program instructions to: modify the relevance factor based upon one or more authors of each communication.